Google Patentsopen access

Technologies for tracking objects within defined areas — Cherish Health, Inc. (US12429576B2)

ABSTRACT

Abstract

This disclosure enables various technologies for tracking various objects (e.g., mammals, animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, vehicles, tents) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas.

Description

CROSS-REFERENCE TO RELATED PATENT APPLICATIONS

This patent application is a Continuation of U.S. Nonprovisional patent application Ser. No. 17/680,734 filed 25 Feb. 2022; which claims a benefit of priority to each of U.S. Provisional Patent Application 63/153,795 filed 25 Feb. 2021 and U.S. Provisional Patent Application 63/162,476 filed 17 Mar. 2021; each of which is incorporated by reference herein for all purposes.

TECHNICAL FIELD

This disclosure relates to tracking objects within defined areas.

BACKGROUND

A first person (e.g., a caregiver, a doctor, a family member, a social worker, a home care worker) may desire to track a second person (e.g., a care recipient, a patient) within a defined area (e.g., a room, an apartment) to ensure that the second person is safe, healthy, or secure within the defined area. However, doing so may be technologically problematic for various reasons. For example, the second person may want to maintain some sense of privacy with respect to such tracking or ensure that such tracking is secure. Likewise, whatever technology the first person decides to use for such tracking (e.g., a video camera, a proximity sensor) may have various technological shortcomings (e.g., a coverage gap, an insufficient accuracy).

SUMMARY

This disclosure enables various technologies for tracking various objects (e.g., animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, offices, tents, barracks, vehicles, aircraft, spacecraft, clinics, field-clinics, hospitals, field-hospitals) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas or environments inhabited by those objects. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas.

An embodiment may include a method comprising: providing a device to a user, wherein the device includes a processor and a time-of-flight radar, wherein the processor is coupled to the time-of-flight radar, wherein the time-of-flight radar is configured to operate in a K-band; and instructing the user to: position the device within a defined area having an object living therein, and activate the time-of-flight radar to operate in the K-band within the defined area such that the time-of-flight radar operating in the K-band within the defined area tracks the object living in the defined area, generates a set of data based on tracking the object living in the defined area, and sends the set of data to the processor such that the processor determines whether the object is experiencing an event within the defined area based on the set of data and takes an action responsive to the event determined to be occurring within the defined area.

An embodiment may include a method comprising: receiving, by a processor, a set of data from a time-of-flight radar operating in a K-band within a defined area having an object living therein, wherein the time-of-flight radar generating the set of data based on the time-of-flight radar operating in the K-band within the defined area and tracking the object living in the defined area; determining, by the processor, whether the object is experiencing an event within the defined area based on the set of data; and taking, by the processor, an action responsive to the event determined to be occurring within the defined area.

An embodiment may include a system comprising: a device including a processor and a time-of-flight radar, wherein the processor is coupled to the time-of-flight radar, wherein the time-of-flight radar is configured to operate in a K-band, wherein the device is configured to be positioned within a defined area having an object living therein such that the time-of-flight radar operating in the K-band within the defined area tracks the object living in the defined area, generates a set of data based on tracking the object living in the defined area, and sends the set of data to the processor such that the processor determines whether the object is experiencing an event within the defined area based on the set of data and takes an action responsive to the event determined to be occurring within the defined area.

An embodiment may include a method comprising: providing a device to a user, wherein the device includes a processor and a radar, wherein the processor is coupled to the radar; and instructing the user to: position the device within a defined area having an object therein, and activate the radar to operate within the defined area such that the radar operating within the defined area tracks the object in the defined area, generates a set of data based on tracking the object in the defined area, and sends the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

An embodiment may include a method comprising: receiving, by a processor, a set of data from a radar operating within a defined area having an object therein, wherein the radar generating the set of data based on the radar operating within the defined area and tracking the object in the defined area; determining, by the processor, whether an action should be taken based on the set of data; and taking, by the processor, the action based on the set of data.

An embodiment may include a system comprising: a device including a processor and a radar, wherein the processor is coupled to the radar, wherein the device is configured to be positioned within a defined area having an object therein such that the radar within the defined area tracks the object in the defined area, generates a set of data based on tracking the object in the defined area, and sends the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

An embodiment may include a method comprising: positioning a device within a defined area having an object therein, wherein the device includes a processor and a radar, wherein the processor is coupled to the radar; and activating the radar to operate within the defined area such that the radar operating within the defined area tracks the object in the defined area, generates a set of data based on tracking the object in the defined area, and sends the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

An embodiment may include a device comprising: a vehicle including a processor, a radar, and an area, wherein the processor is coupled to the radar, wherein the area is configured to contain a driver or a passenger, wherein the processor is programmed to activate the radar to track the driver or the passenger within the area, generate a set of data based on tracking the driver or the passenger in the area, and send the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

DESCRIPTION OF DRAWINGS

FIG. 1 shows a top view diagram of an embodiment of an area containing a device including a radar according to this disclosure.

FIG. 2 shows a side view diagram of FIG. 1 according to this disclosure.

FIG. 3 shows an embodiment of a device including a radar according to this disclosure.

FIG. 4 shows a set of embodiments of a set of devices each including a radar or a sensor according to this disclosure.

FIG. 5 shows a logic diagram of an embodiment of a device including a radar according to this disclosure.

FIG. 6 shows an internal diagram of FIG. 3 according to this disclosure.

FIG. 7 shows a logic diagram of a radar according to this disclosure.

FIG. 8 shows a photograph of an internal cavity of FIG. 3 based on FIG. 6 according to this disclosure.

FIG. 9 shows a set of embodiments of a set of form factors embodying a radar according to this disclosure.

FIG. 10 shows an embodiment of a circuit board with a set of antennas of a radar according to this disclosure.

FIG. 11 shows an embodiment of a field of coverage of the device of FIG. 3 according to this disclosure.

FIG. 12 shows an embodiment of a set of microphones of the device of FIG. 7 according to this disclosure.

FIG. 13 shows an embodiment of a microphone of the device of FIG. 7 according to this disclosure.

FIG. 14 shows an embodiment of a raw reading from the device of FIGS. 1 - 7 and a virtual skeleton formed by the device of FIGS. 1 - 7 from the raw reading according to this disclosure.

DETAILED DESCRIPTION

This disclosure enables various technologies for tracking various objects (e.g., mammals, animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, vehicles, tents) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas, as further explained below.

This disclosure is now described more fully with reference to all attached figures, in which some embodiments of this disclosure are shown. This disclosure may, however, be embodied in many different forms and should not be construed as necessarily being limited to various embodiments disclosed herein. Rather, these embodiments are provided so that this disclosure is thorough and complete, and fully conveys various concepts of this disclosure to skilled artisans. Note that like numbers or similar numbering schemes can refer to like or similar elements throughout.

Various terminology used herein can imply direct or indirect, full or partial, temporary or permanent, action or inaction. For example, when an element is referred to as being “on,” “connected” or “coupled” to another element, then the element can be directly on, connected or coupled to the other element or intervening elements can be present, including indirect or direct variants. In contrast, when an element is referred to as being “directly connected” or “directly coupled” to another element, there are no intervening elements present.

As used herein, a term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. For example, X includes A or B can mean X can include A, X can include B, and X can include A and B, unless specified otherwise or clear from context.

As used herein, each of singular terms “a,” “an,” and “the” is intended to include a plural form (e.g., two, three, four, five, six, seven, eight, nine, ten, tens, hundreds, thousands, millions) as well, including intermediate whole or decimal forms (e.g., 0.0, 0.00, 0.000), unless context clearly indicates otherwise. Likewise, each of singular terms “a,” “an,” and “the” shall mean “one or more,” even though a phrase “one or more” may also be used herein.

As used herein, each of terms “comprises,” “includes,” or “comprising,” “including” specify a presence of stated features, integers, steps, operations, elements, or components, but do not preclude a presence or addition of one or more other features, integers, steps, operations, elements, components, or groups thereof.

As used herein, when this disclosure states herein that something is “based on” something else, then such statement refers to a basis which may be based on one or more other things as well. In other words, unless expressly indicated otherwise, as used herein “based on” inclusively means “based at least in part on” or “based at least partially on.”

As used herein, terms, such as “then,” “next,” or other similar forms are not intended to limit an order of steps. Rather, these terms are simply used to guide a reader through this disclosure. Although process flow diagrams may describe some operations as a sequential process, many of those operations can be performed in parallel or concurrently. In addition, the order of operations may be re-arranged.

As used herein, a term “response” or “responsive” are intended to include a machine-sourced action or inaction, such as an input (e.g., local, remote), or a user-sourced action or inaction, such as an input (e.g., via user input device).

As used herein, a term “about” or “substantially” refers to a +/−10% variation from a nominal value/term.

Although various terms, such as first, second, third, and so forth can be used herein to describe various elements, components, regions, layers, or sections, note that these elements, components, regions, layers, or sections should not necessarily be limited by such terms. Rather, these terms are used to distinguish one element, component, region, layer, or section from another element, component, region, layer, or section. As such, a first element, component, region, layer, or section discussed below could be termed a second element, component, region, layer, or section, without departing from this disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used herein have a same meaning as commonly understood by skilled artisans to which this disclosure belongs. These terms, such as those defined in commonly used dictionaries, should be interpreted as having a mean

CROSS-REFERENCE TO RELATED PATENT APPLICATIONS

This patent application is a Continuation of U.S. Nonprovisional patent application Ser. No. 17/680,734 filed 25 Feb. 2022; which claims a benefit of priority to each of U.S. Provisional Patent Application 63/153,795 filed 25 Feb. 2021 and U.S. Provisional Patent Application 63/162,476 filed 17 Mar. 2021; each of which is incorporated by reference herein for all purposes.

TECHNICAL FIELD

This disclosure relates to tracking objects within defined areas.

BACKGROUND

A first person (e.g., a caregiver, a doctor, a family member, a social worker, a home care worker) may desire to track a second person (e.g., a care recipient, a patient) within a defined area (e.g., a room, an apartment) to ensure that the second person is safe, healthy, or secure within the defined area. However, doing so may be technologically problematic for various reasons. For example, the second person may want to maintain some sense of privacy with respect to such tracking or ensure that such tracking is secure. Likewise, whatever technology the first person decides to use for such tracking (e.g., a video camera, a proximity sensor) may have various technological shortcomings (e.g., a coverage gap, an insufficient accuracy).

SUMMARY

This disclosure enables various technologies for tracking various objects (e.g., animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, offices, tents, barracks, vehicles, aircraft, spacecraft, clinics, field-clinics, hospitals, field-hospitals) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas or environments inhabited by those objects. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas.

An embodiment may include a method comprising: providing a device to a user, wherein the device includes a processor and a time-of-flight radar, wherein the processor is coupled to the time-of-flight radar, wherein the time-of-flight radar is configured to operate in a K-band; and instructing the user to: position the device within a defined area having an object living therein, and activate the time-of-flight radar to operate in the K-band within the defined area such that the time-of-flight radar operating in the K-band within the defined area tracks the object living in the defined area, generates a set of data based on tracking the object living in the defined area, and sends the set of data to the processor such that the processor determines whether the object is experiencing an event within the defined area based on the set of data and takes an action responsive to the event determined to be occurring within the defined area.

An embodiment may include a method comprising: receiving, by a processor, a set of data from a time-of-flight radar operating in a K-band within a defined area having an object living therein, wherein the time-of-flight radar generating the set of data based on the time-of-flight radar operating in the K-band within the defined area and tracking the object living in the defined area; determining, by the processor, whether the object is experiencing an event within the defined area based on the set of data; and taking, by the processor, an action responsive to the event determined to be occurring within the defined area.

An embodiment may include a system comprising: a device including a processor and a time-of-flight radar, wherein the processor is coupled to the time-of-flight radar, wherein the time-of-flight radar is configured to operate in a K-band, wherein the device is configured to be positioned within a defined area having an object living therein such that the time-of-flight radar operating in the K-band within the defined area tracks the object living in the defined area, generates a set of data based on tracking the object living in the defined area, and sends the set of data to the processor such that the processor determines whether the object is experiencing an event within the defined area based on the set of data and takes an action responsive to the event determined to be occurring within the defined area.

An embodiment may include a method comprising: providing a device to a user, wherein the device includes a processor and a radar, wherein the processor is coupled to the radar; and instructing the user to: position the device within a defined area having an object therein, and activate the radar to operate within the defined area such that the radar operating within the defined area tracks the object in the defined area, generates a set of data based on tracking the object in the defined area, and sends the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

An embodiment may include a method comprising: receiving, by a processor, a set of data from a radar operating within a defined area having an object therein, wherein the radar generating the set of data based on the radar operating within the defined area and tracking the object in the defined area; determining, by the processor, whether an action should be taken based on the set of data; and taking, by the processor, the action based on the set of data.

An embodiment may include a system comprising: a device including a processor and a radar, wherein the processor is coupled to the radar, wherein the device is configured to be positioned within a defined area having an object therein such that the radar within the defined area tracks the object in the defined area, generates a set of data based on tracking the object in the defined area, and sends the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

An embodiment may include a method comprising: positioning a device within a defined area having an object therein, wherein the device includes a processor and a radar, wherein the processor is coupled to the radar; and activating the radar to operate within the defined area such that the radar operating within the defined area tracks the object in the defined area, generates a set of data based on tracking the object in the defined area, and sends the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

An embodiment may include a device comprising: a vehicle including a processor, a radar, and an area, wherein the processor is coupled to the radar, wherein the area is configured to contain a driver or a passenger, wherein the processor is programmed to activate the radar to track the driver or the passenger within the area, generate a set of data based on tracking the driver or the passenger in the area, and send the set of data to the processor such that the processor determines whether an action should be taken based on the set of data and takes the action based on the set of data.

DESCRIPTION OF DRAWINGS

FIG. 1 shows a top view diagram of an embodiment of an area containing a device including a radar according to this disclosure.

FIG. 2 shows a side view diagram of FIG. 1 according to this disclosure.

FIG. 3 shows an embodiment of a device including a radar according to this disclosure.

FIG. 4 shows a set of embodiments of a set of devices each including a radar or a sensor according to this disclosure.

FIG. 5 shows a logic diagram of an embodiment of a device including a radar according to this disclosure.

FIG. 6 shows an internal diagram of FIG. 3 according to this disclosure.

FIG. 7 shows a logic diagram of a radar according to this disclosure.

FIG. 8 shows a photograph of an internal cavity of FIG. 3 based on FIG. 6 according to this disclosure.

FIG. 9 shows a set of embodiments of a set of form factors embodying a radar according to this disclosure.

FIG. 10 shows an embodiment of a circuit board with a set of antennas of a radar according to this disclosure.

FIG. 11 shows an embodiment of a field of coverage of the device of FIG. 3 according to this disclosure.

FIG. 12 shows an embodiment of a set of microphones of the device of FIG. 7 according to this disclosure.

FIG. 13 shows an embodiment of a microphone of the device of FIG. 7 according to this disclosure.

FIG. 14 shows an embodiment of a raw reading from the device of FIGS. 1 - 7 and a virtual skeleton formed by the device of FIGS. 1 - 7 from the raw reading according to this disclosure.

DETAILED DESCRIPTION

This disclosure enables various technologies for tracking various objects (e.g., mammals, animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, vehicles, tents) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas, as further explained below.

This disclosure is now described more fully with reference to all attached figures, in which some embodiments of this disclosure are shown. This disclosure may, however, be embodied in many different forms and should not be construed as necessarily being limited to various embodiments disclosed herein. Rather, these embodiments are provided so that this disclosure is thorough and complete, and fully conveys various concepts of this disclosure to skilled artisans. Note that like numbers or similar numbering schemes can refer to like or similar elements throughout.

Various terminology used herein can imply direct or indirect, full or partial, temporary or permanent, action or inaction. For example, when an element is referred to as being “on,” “connected” or “coupled” to another element, then the element can be directly on, connected or coupled to the other element or intervening elements can be present, including indirect or direct variants. In contrast, when an element is referred to as being “directly connected” or “directly coupled” to another element, there are no intervening elements present.

As used herein, a term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. For example, X includes A or B can mean X can include A, X can include B, and X can include A and B, unless specified otherwise or clear from context.

As used herein, each of singular terms “a,” “an,” and “the” is intended to include a plural form (e.g., two, three, four, five, six, seven, eight, nine, ten, tens, hundreds, thousands, millions) as well, including intermediate whole or decimal forms (e.g., 0.0, 0.00, 0.000), unless context clearly indicates otherwise. Likewise, each of singular terms “a,” “an,” and “the” shall mean “one or more,” even though a phrase “one or more” may also be used herein.

As used herein, each of terms “comprises,” “includes,” or “comprising,” “including” specify a presence of stated features, integers, steps, operations, elements, or components, but do not preclude a presence or addition of one or more other features, integers, steps, operations, elements, components, or groups thereof.

As used herein, when this disclosure states herein that something is “based on” something else, then such statement refers to a basis which may be based on one or more other things as well. In other words, unless expressly indicated otherwise, as used herein “based on” inclusively means “based at least in part on” or “based at least partially on.”

As used herein, terms, such as “then,” “next,” or other similar forms are not intended to limit an order of steps. Rather, these terms are simply used to guide a reader through this disclosure. Although process flow diagrams may describe some operations as a sequential process, many of those operations can be performed in parallel or concurrently. In addition, the order of operations may be re-arranged.

As used herein, a term “response” or “responsive” are intended to include a machine-sourced action or inaction, such as an input (e.g., local, remote), or a user-sourced action or inaction, such as an input (e.g., via user input device).

As used herein, a term “about” or “substantially” refers to a +/−10% variation from a nominal value/term.

Although various terms, such as first, second, third, and so forth can be used herein to describe various elements, components, regions, layers, or sections, note that these elements, components, regions, layers, or sections should not necessarily be limited by such terms. Rather, these terms are used to distinguish one element, component, region, layer, or section from another element, component, region, layer, or section. As such, a first element, component, region, layer, or section discussed below could be termed a second element, component, region, layer, or section, without departing from this disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used herein have a same meaning as commonly understood by skilled artisans to which this disclosure belongs. These terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in context of relevant art and should not be interpreted in an idealized or overly formal sense, unless expressly so defined herein.

Features or functionality described with respect to certain embodiments may be combined and sub-combined in or with various other embodiments. Also, different aspects, components, or elements of embodiments, as disclosed herein, may be combined and sub-combined in a similar manner as well. Further, some embodiments, whether individually or collectively, may be components of a larger system, wherein other procedures may take precedence over or otherwise modify their application. Additionally, a number of steps may be required before, after, or concurrently with embodiments, as disclosed herein. Note that any or all methods or processes, as disclosed herein, can be at least partially performed via at least one entity or actor in any manner.

Hereby, all issued patents, published patent applications, and non-patent publications that are mentioned or referred to in this disclosure are herein incorporated by reference in their entirety for all purposes, to a same extent as if each individual issued patent, published patent application, or non-patent publication were specifically and individually indicated to be incorporated by reference. To be even more clear, all incorporations by reference specifically include those incorporated publications as if those specific publications are copied and pasted herein, as if originally included in this disclosure for all purposes of this disclosure. Therefore, any reference to something being disclosed herein includes all subject matter incorporated by reference, as explained above. However, if any disclosures are incorporated herein by reference and such disclosures conflict in part or in whole with this disclosure, then to an extent of the conflict or broader disclosure or broader definition of terms, this disclosure controls. If such disclosures conflict in part or in whole with one another, then to an extent of conflict, the later-dated disclosure controls.

FIG. 1 shows a top view diagram of an embodiment of an area containing a device including a radar according to this disclosure. FIG. 2 shows a side view diagram of FIG. 1 according to this disclosure. FIG. 7 shows a logic diagram of a radar according to this disclosure. FIG. 9 shows a set of embodiments of a set of form factors embodying a radar according to this disclosure. In particular, an area 100 contains a device 102 , an object 104 , a stand 106 , a sofa 108 , a table 110 , a chair 112 , an oven 114 , a refrigerator 116 , a bathroom 118 , a toilet 120 , a tub 122 , a sink 124 , an electrical outlet 126 , a wall 128 , a field of view 130 , a wall 132 , a door 134 , and a door 138 .

The object 104 can include a mammal, an animal, a human, a pet, or any other suitable object capable of living or being present in the area 100 , whether male or female. The mammal may include the animal, the human, the pet, or any other suitable animal. The animal may include a zoo animal, the human, the pet, or any other suitable animal. The human may be a baby, a toddler, a preschooler, a grade schooler, a teenager, a young adult, an adult, or an elderly person. The pet may include a dog, a cat, a bunny, a bird, or another suitable pet. Note that the object may not live in the area 100 , but may be present in the area 100 as well. For example, this may apply to visitors, workers, maintenance personnel, cleaning personnel, medical personnel, emergency personnel, or other objects (e.g., mammals, animals, humans, pets) that may be present or movable within the area, whether animate or inanimate, whether living or not living in the area 100 .

The area 100 is embodied as a residence (e.g., a studio apartment) of the object 104 . As shown in FIG. 1 (top view), the area 100 is defined by the wall 132 , the door 134 , and the window 136 to be shaped as a rectangle. However, note that the area 100 can be defined by the wall 132 , the door 134 , or the window 136 to be shaped as another suitable shape (e.g., a square, an oval, a polygon, an open-shape, a closed-shape, a teardrop, a corner-less area). The wall 132 includes a stud (e.g., wood, metal) frame having a drywall/siding configuration (e.g., an external wall) or a drywall/drywall configuration (e.g., an internal wall). However, this configuration is not required and the wall 132 may be configured differently (e.g., a brick wall, a fabric wall, a glass wall, a plastic wall, a metal wall, a lattice, a barred wall, a cage wall, a log wall). Note that the door 134 or the window 136 may be omitted.

As shown in FIG. 1 , the area 100 contains the bathroom 118 defined by the wall 128 , the wall 132 , and the door 138 to be shaped as a rectangle. However, note that the bathroom 118 can be defined by the wall 128 , the wall 132 , or the door 138 to be shaped as another suitable shape (e.g., a square, an oval, a polygon, an open-shape, a closed-shape, a teardrop, a corner-less area). The wall 128 includes a stud frame having a drywall/siding configuration (external wall) or a drywall/drywall configuration (internal wall). However, this configuration is not required and the wall 128 may be configured differently (e.g., a brick wall, a fabric wall, a glass wall, a plastic wall, a metal wall, a lattice, a barred wall, a cage wall, a log wall). Note that the door 138 may be omitted.

Although the area 100 includes the bathroom 118 , this is not required. For example, the bathroom 118 may be omitted or the area 100 may be the bathroom 118 . Similarly, although the area 100 is embodied as the residence of the object 104 , with the residence having the bathroom 118 , a living area, and a kitchen area, this is not required. As such, the area 100 can be embodied as any suitable residential area for the object 104 to live therein. For example, the area 100 can be embodied as a living room or a living area, a dining room or a dining area, a bedroom or a sleep area, a bathroom or a bathroom area, a shower room or a shower area, a play room or a play area, a home office or a home office area, a basement or a basement area, a garage or a garage area, a shed or a shed area, an attic or an attic area, an exercise room or an exercise area, a mud room or a mud area, a closer or a closet area, or any other suitable residential room or area, although non-residential area may be used as well. Likewise, although the area 100 is shown as the residence of the object 104 , this is not required. As such, the area 100 can be embodied in various ways. For example, the area 100 can be embodied in or be a building, a condominium, a detached home, an attached home, a warehouse, a lobby, an office space, a cubicle, a corridor, a vestibule, an hotel, a tent, a cabin, a cage, a medical facility, a nursing home, a hospice, an assisted living facility, a hospital, a passenger area in a vehicle, a driver area in a vehicle, a control area of a vehicle, an elevator, an airplane or helicopter cockpit, an airplane or helicopter cabin, a boat room, a boat cockpit or cabin, or any other suitable area.

The area 100 and the bathroom 118 has various objects of daily living distributed therein, whether fixtures (e.g., an electrical fixture, a plumbing fixture) or movable (e.g., a floor lamp, a vase). These objects include the stand 106 , the sofa 108 , the table 110 , the chair 112 , the oven 114 , the refrigerator 116 , the bathroom 118 , the toilet 120 , the tub 122 , and the sink 124 , any or all of which may be omitted from the area 100 . Note that how these objects of daily living are distributed in the area 100 is illustrative and other layouts of these objects of daily living are possible.

The area 100 includes a floor, a ceiling, and a corner, although the ceiling or the corner can be omitted. Near the corner, there is the stand 106 (e.g., a table, a coffee table, a night table, a chair, a shelf) on which the device 102 is resting, disposed, or positioned (e.g., stationed, fixed). However, note that the stand 106 may or may not be omitted and the device 102 can be resting on or attached to (e.g., fastened, mated, adhered) the floor, attached to (e.g., fastened, mated, adhered) or suspended (e.g., via a cable or a chain) from the ceiling, or attached to (e.g., fastened, mated, adhered) or hung on (e.g., fastened, mated, adhered) the wall 132 or the wall 128 .

The device 102 includes a processor (e.g., a controller, an edge processor, a single core processor, a multicore processor, a system-on-chip, a graphics processing unit, a hardware accelerator, a neural network accelerator, a machine learning accelerator) and a radar (e.g., a time-of-flight radar, a Doppler radar), where the processor is coupled (e.g., electrically, logically, mechanically) to the radar to control the radar (e.g., receive tracking data). For example, the processor may include a controller and a hardware accelerator. For example, the processor may enable local or edge computing to enhance processing speed or provide data privacy or data security. The radar may have a set of components shown in FIG. 7 and a field of view 130 . For example, the field of view can be or include about 120 degrees horizontal (or less or more) and about 90 degrees vertical (or less or more). Likewise, for example, the radar may be as disclosed in U.S. Pat. No. 9,019,150, which is incorporated by reference herein at least for all radar purposes.

Although the device 102 is shown in FIGS. 1 - 9 to have a housing (e.g., a container, an enclosure, a box, a cube, a cuboid, a pyramid, a cone, a sphere, an ovoid, a television unit, a soundbar, a speaker, a bookend, a flowerpot, a planter pot, a vase, a furniture item, a table, a chair, a sofa, a bed, a crib, a shelf, a bookcase, a television stand, a house appliance, a dishwasher, a refrigerator, an over, a stovetop, a toy, an exercise equipment item, a treadmill, a rowing machine, a musical instrument, a fixture) hosting (e.g., internally, externally) the processor and the radar, this is optional and the housing may be omitted or vary. For example, some form factors of the housing are shown in FIG. 9 . Likewise, for example, one or both of the processor and the radar can be not housed at all or can be housed in different housings (e.g., the processor in a first housing and the radar in a second housing), whether those different housings are attached to each other, detached from each other, spaced apart from each other, opposing each other, or any other suitable configuration, whether those housings are structurally or functionally identical or non-identical to each other.

As shown in FIG. 1 , the device 102 includes a power line (e.g., a wire, a cord, a cable) via which the processor and the radar are powered. If the device 102 includes other components, as disclosed herein, then those components may also be powered via the power line. As such, the power line includes an electrical plug and the device 102 is positioned within the area 100 near the electrical outlet 126 for the electrical plug to be sufficiently elongated or flexible to be plugged into the electrical outlet 126 and thereby power the device 102 . The electrical outlet 126 can be 110 volts, 220 volts, or any other voltage suitable for operating the device 102 . However, the power line can be omitted or be another power option if the device 102 includes a battery, which may be rechargeable, that is sufficiently energized to power the processor, the radar, and any other components of the device 102 , if necessary, for a preset period of time (e.g., 30 minutes, 90 minutes, 120 minutes, 24 hours, 72 hours), as disclosed herein.

The processor may activate the radar to operate within the area 100 such that the radar operates within the area 100 and tracks the object 104 living in the area 100 when the object 104 is positioned within the field of view 130 within the area 100 . The radar generates a set of data based on tracking the object 104 living in the area 100 when the object 104 is positioned within the field of view 130 within the area 100 and sends the set of data to the processor such that the processor determines whether the object 104 is experiencing an event (e.g., a medical emergency, a fall, a death, a heart attack, a seizure) within the area 100 based on the set of data and takes an action (e.g., initiates a communication with a remote phone unit or a server) responsive to the event determined to be occurring within the area 100 . For example, the processor may distinguish between a fast fall and a slow fall, each associated with its own signature for medical purposes. For example, the event may be a medical event, which may be a diagnosis estimate or a diagnosis forecast. For example, the action may be triggered by thresholds based on one or more criteria about the object 104 or its environment being tracked by the radar. For example, the action may be (a) the device 102 calling (e.g., via its SIM module) a preset phone number (e.g., a family member, a caretaker, a social worker, a medical professional, a nurse, a personal doctor, a medical facility, an emergency service), (b) sending (e.g., via its Wi-Fi interface) a message to a server remote from the area 100 , the device 102 , and the object 104 , (c) performing a set of escalation actions preprogrammed in advance (e.g., sounding an “are you okay message” and calling a preset phone number if no response from the object 104 ), or (d) other suitable actions. As noted above, the object 104 does not need to be living in the area 100 to be in the field of view 130 . As such, the object 104 can be present in the area 100 (e.g., for a relatively extended or temporary period of time whether on a repeating pattern or a single visit) and be in the field of view 130 .

The radar may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, while complying with local radiation laws (e.g., as regulated by Federal Communications Commission) and without radiationally interfering with other objects in its operational vicinity (e.g., stationary or mobile medical equipment, wearable medical equipment, pacemakers, insulin pumps, infusion pumps, microwave ovens, televisions, radios, Wi-Fi, cellular phones, printers, networking equipment). When the radar operates in at least two of such bands, the radar may be a single radar unit operating in at least two of such bands or the radar may have at least two of radar units respectfully dedicated to at least two of such bands. For example, the radar may operate in the Ku-band inclusively between about 12 GHz and about 18 GHz. For example, the radar may operate in the K-band inclusively between about 18 GHz and about 27 GHz. For example, the radar may operate in the Ka-band inclusively between about 26.5 GHz and about 40 GHz. For example, the radar may operate in at least two of the Ku-band inclusively between about 12 GHz and about 18 GHz, the K-band inclusively between about 18 GHz and about 27 GHz, or the Ka-band inclusively between about 26.5 GHz and about 40 GHz, whether serially (e.g., the radar is switched between at least two of these bands to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein, or in parallel (e.g., the radar simultaneously operates in at least two of these bands without interference with itself to supplement or validate or confirm itself), such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. For example, the radar may operate in the Ku-band inclusively between about 12 GHz and about 18 GHz, the K-band inclusively between about 18 GHz and about 27 GHz, and the Ka-band inclusively between about 26.5 GHz and about 40 GHz, whether serially (e.g., the radar is switched between these bands to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein or in parallel (e.g., the radar simultaneously operates in at least two of these bands without interference with itself to supplement or validate or confirm itself), such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. For example, the radar may switch frequencies within the Ku-band inclusively between about 12 GHz and about 18 GHz, such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. For example, the radar may switch frequencies within the K-band inclusively between about 18 GHz and about 27 GHz, such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. For example, the radar may switch frequencies within the Ka-band inclusively between about 26.5 GHz and about 40 GHz, such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. These bands have been unexpectedly found to be technologically beneficial for various reasons, as disclosed herein.

With respect to the Ku-band, the radar operates within the area 100 at a radio frequency inclusively between about 12 GHz and about 18 GHz (wavelength between about 24.00 millimeters and about 16.65 millimeters) or the radar may switch frequencies within the Ku-band inclusively between about 12 GHz and about 18 GHz, such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. This band has been unexpectedly found to be technologically beneficial for penetrating walls/objects in the field of view 130 better than higher frequencies—and thus enabling the radar to have further range, which is useful for location tracking of the object 104 within the area 100 and pose detection of the object 104 within the area 100 .

With respect to the K-band, the radar operates within the area 100 at a radio frequency band inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) or the radar may switch frequencies within the K-band inclusively between about 18 GHz and about 27 GHz, such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. This band has been unexpectedly found to be technologically beneficial for corresponding to a peak in an absorption spectrum of water. This is important because, in certain situations, a conventional radar may not be set up to operate at a frequency above 22 GHz, as that frequency may be easily absorbed by water. Therefore, the conventional radar is normally desired to have its signals penetrating a water-vapor to arrive at another more reflective (e.g., metal) target. As such, if the object 104 is a mammal, such as a human, who may have water content of up to 60%, then the radar tracking the object 104 in the field of view 130 may produce a large measurable change in an amount of reflected signal within the area 100 , which improves accuracy or precision of the radar operating within the area 100 and tracking the object 104 in the field of view 130 within the area 100 . Within the K-band, a radio frequency range inclusively between about 23 GHz and about 25 GHz, and especially about 24 GHz, has been unexpectedly beneficial, as explained above.

With respect to the Ka-band, the radar operates within the area 100 within a radio frequency band inclusively between about 26.5 GHz and about 40 GHz (wavelength between about 11.31 millimeters and about 7.49 mm millimeters) or the radar may switch frequencies within the Ka-band inclusively between about 26.5 GHz and about 40 GHz, such as when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. This band has been unexpectedly found to be technologically beneficial for making it easier to detect a vital sign (e.g., a heart rate, a respiratory rate) when the object 104 is a mammal, such as a human, is positioned in the field of view 130 . Since the object 104 may repeatedly deflect due to oxygen inhaling/exhaling or blood pulsation in the field of view 130 , this state of being makes a larger percentage change of a carrier frequency's wavelength as detected by the processor.

The radar may switch modalities between a Doppler mode (or another radar modality) and a time-of-flight mode (or another radar modality) when requested by the processor based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein. Note that such switching may or may not operate serially or in parallel, may or may not interfere with each other, or may or may not be together with frequency switching or band switching, whether the radar is operating in the Ku-band, the K-band, or the Ka-band or other bands, as disclosed herein. For example, the radar may have a first radar unit operating in the Doppler mode and a second radar unit operating in the time-of-flight mode, where the processor requests that the first radar unit operate in the Doppler mode and then switch to the second radar unit to operate in the time-of-flight mode, or vice versa, based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein, although parallel or serial radar mode operation is possible. Note that the first radar unit and the second radar unit can be hosted (e.g., internally, externally) by a common housing or each one can have its own housing, which may be spaced apart (e.g., within about 5, 4, 3, 2, 1 feet or meters) from each other, as disclosed herein. Likewise, for example, the radar may be operating in the Doppler mode or in the time-of-flight mode, where the processor requests that the radar operate in the Doppler mode and then switch to the time-of-flight mode, or vice versa, based on the processor determining whether various criteria, signatures, or thresholds have or have not been satisfied (e.g., to enhance resolution of the object 104 or the area 100 or its contents or manage power or heat dissipation), as disclosed herein, although parallel or serial radar mode operation is possible.

The radar has been designed by experience with many prototypes, which include operation at about 5 GHz (and within that respective band), about 24 GHz (and within that respective band), about 60 GHz (and within that respective band), and other operating frequencies (all of which and their respective bands work but some work better than others for some use cases), and expertise with radar, signal processing, and artificial intelligence. For example, with respect to about 5 GHz (and within that respective band) or about 60 GHz (and within that respective band), the radar may operate at those frequencies or within its corresponding bands or switch frequencies therein or switch bands with the Ku-band or the K-band or the Ka-band or other bands disclosed herein. In some embodiments, some design parameters relate to a field of view (left and right limits of what the radar can see). For example, there can be a field of view of about 120 degrees horizontal (or lower or higher), about 90 degrees vertical (or lower or higher), or other fields of view. In some embodiments, some design parameters relate to a resolution (granularity with which the radar distinguishes details within its field of view). The resolution may be implemented via voxels (3D pixels) with about 15 degrees ‘width’, about 15 degrees ‘height’, and about 25 centimeters depth, useful for location and fall detection, although forms of resolutions are possible, whether each individually higher or lower. The resolution may be in millimeters within those voxels, which may be useful for heart rate, respiratory rate measurements, or other vital signs. In some embodiments, some design parameters relate to penetration (a balance between the radar's ability to penetrate common objects (e.g. walls, furniture)—versus reflection from objects being monitored (e.g., humans). For example, some embodiments enable the penetration at about 20 meters through two layers of US standard studded drywall or drywall/siding, with good or sufficient reflection off human targets. Note that this distance is illustrative and can increase or decrease based on other parameters (e.g., supplemental data sources, supplemental radar, types of materials used in manufacturing of walls or home appliances or furniture, height of radar relative to ground floor or physical area or monitored floor or physical area, power limits set by governmental authorities). In some embodiments, some design parameters relate to transmit power (if the field of view defines at least some directions for the radar to scan, the transmit power affects how far the radar can see).

As explained above, the radar operating at the K-band inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) and especially within the K-band inclusively between about 23 GHz and about 25 GHz, and more especially at about 24 GHz, has been unexpectedly beneficial due to a good balance between signal penetration, tracking distance, and human detection, while being complaint at a regulated power limit, which itself is set to be well within human safety parameters across a very wide range of applications or use cases, as disclosed herein. By operating the radar in the K-band inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) and especially within the K-band inclusively between about 23 GHz and about 25 GHz, and more especially at about 24 GHz, the radar can further tune the field of view and the resolution by altering some properties of some antenna arrays, or by adding additional radar subsystem boards as may be required for future applications. For example, this form of operation may be a relatively high frequency that allows accurate range measurements, yet enables some antennas to be small and overall antenna arrays are compact, enabling integration into a variety of form factors, as disclosed herein.

Material penetration properties of the radar operating inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) and especially within the K-band inclusively between about 23 GHz and about 25 GHz, and more especially at about 24 GHz, are much better for tracking indoors (e.g., within the area 100 ) than operating at about 60 GHz or about 76-78 GHz, although operating at about 60 GHz (or within its corresponding band or switch frequencies therein or switch bands with the Ku-band or the K-band or the Ka-band or other bands disclosed herein) or about 76-78 GHz (or within its corresponding band or switch frequencies therein or switch bands with the Ku-band or the K-band or the Ka-band or other bands disclosed herein) may be sufficient for some use cases indoors (e.g., within the area 100 ), as disclosed herein. Specifically, the radar operating inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 1110 millimeters) and especially within the K-band inclusively between about 23 GHz and about 25 GHz, and more especially at about 24 GHz, can operate through a few layers of standard wall construction and see through various types of clothing. For example, some radars above 60 GHz may be limited to in-room operation because walls are effectively opaque or may be strongly affected by clothing, which produces noise. For example, the radar operating at about 60 GHz could detect heart rate and respiratory rate for a relatively still object 104 , standing within about seven meters in front of the radar. However, some embodiments of the radar operating at about 60 GHz do not adequately penetrate solid objects including clothing nor a human body. Those measurements, therefore, can become noisy if the object 104 moved and their clothing, if any, fluttered. In contrast, the radar operating inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) and especially within the K-band inclusively between about 23 GHz and about 25 GHz, and more especially at about 24 GHz, can penetrate a human body, which helps minimize motion-related noise. Furthermore, when the radar operates inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) and especially within the K-band inclusively between about 23 GHz and about GHz, and more especially at about 24 GHz, and based on voxel-based tracking, the processor is able to discard, remove, delete, or ignore any or certain voxels that do not intersect the object 104 , such as a human body, or alternately, to simultaneously measure vitals for multiple objects 104 , such as people, in the area 100 . For example, when using voxel-based tracking, the processor may receive the set of data from the radar; access a set of voxels formed based on the set of data; discard, remove, delete, or ignore a first subset of voxels from the set of voxels based on the first subset of voxels not representing the object 104 living in the area 100 (when the first subset represents empty space) such that a second subset of voxels from the set of voxels is identified; and take the action, as disclosed herein, responsive to the event determined to be occurring within the defined area based on the second subset of voxels. Therefore, this form of voxel-filtering enables more processing efficiency. Additionally, the radar operating inclusively between about 18 GHz and about 27 GHz (wavelength between about 16.65 millimeters and about 11.10 millimeters) and especially within the K-band inclusively between about 23 GHz and about GHz, and more especially at about 24 GHz, enables millimeter level resolution within a voxel to see a motion of an individual's tissue and skin as a function of their heartbeat and breathing.

When the device 102 is provided to a user, who may (e.g., DIY) or may not (e.g., an agent, child, or caretaker on behalf of a parent or care recipient) be the object 104 , the user may be instructed regarding the device 102 (e.g., configuration and use). For example, the user may be the object (e.g., DIY) or the user may not be the object (e.g., an agent, child, or caretaker on behalf of a parent or care recipient). The device 102 may be provided to the user in various ways. For example, the device 102 may be mailed (e.g., US mail), couriered (e.g., FedEx), shipped (e.g., in a package), sent, handed, delivered, present or installed in an area, a dwelling, or vehicle, or otherwise suitably availed to the user. The user may be instructed in various ways. For example, the user may be instructed via a medium, such as a written, drawn, or printed manual, a computer file (e.g., a portable document format file, a presentation file, a word processing file, an image file, a video file, an audio file), a website, a mobile application, a vocal or pictorial guide, an auditory or visual wizard, a call center, or otherwise suitably instructed regarding the device (e.g., how to use). The user may be instructed on how and where to position the device 102 within the area 100 having the object 104 living therein, although the object 104 may be present therein (e.g., relatively temporarily). The user may be instructed on how to power, turn on, and activate the radar within the area 100 . If initial configuration or setup may be needed, then the user may be instructed accordingly.

Once the radar is set up and activated, then the radar may operate within the area 100 such that the radar tracks the object 104 living (or positioned) in the area 100 , generates a set of data based on tracking the object 104 living (or positioned) in the area 100 , and sends the set of data to the processor such that the processor determines (e.g., individually or in combination with other knowledge, forecasts, estimates, inferences, or data from data sources about the object 104 or the area 100 ) whether an action should be taken based on the set of data and takes the action based on the set of data. For example, the processor may determine whether the object 104 is experiencing an event (e.g., a medical emergency, a fall, a death, a heart attack, a seizure, a diagnosis prediction, a diagnosis estimate, a diagnosis forecast) within the area 100 based on the set of data and takes the action (e.g., initiates a communication with a remote phone unit or a remote server) responsive to the event determined to be occurring within the area 100 . For example, the processor may determine whether the object 100 is experiencing the event based on forming a signature of the object based on the set of data, which may be over a period of time, comparing the signature against a set of signature templates corresponding to a set of events (e.g., a medical emergency, a fall, a death, a heart attack, a seizure, a diagnosis prediction, a diagnosis forecast), and then determining whether a match threshold between the signature and the set of signature templates has or has not been satisfied. For example, the match threshold may or may not be satisfied to estimate that the object 104 may be deteriorating in health (e.g., activity of daily living, locomotion, speed of movement, reaction time).

The event can be related to an activity of daily living (e.g., eating, drinking, sleeping, washing, bathing, toileting, reading, sitting, exercising, laundering, cooking, cleaning) of the object 104 within the area 100 . For example, the event may be identifying that the object 104 is sufficiently or insufficiently performing the activity of daily living or that there is a decrease or increase or maintenance in a number or a frequency or a quality of the activity of daily living. Likewise, the event may be related to a fall of the object 104 within the area 100 . Similarly, the event may be related to the object 104 remaining still for a preset period of time within the area 100 (e.g., dying, dead, paralyzed, injured, unconscious, sleeping). Further, the event may be related to the object 104 being absent from the area 100 for a preset period of time (e.g., lost, disappeared, injured, dying, dead, unconscious, seizing, occluded). Also, the event may be related to the object 104 not being tracked within the area 100 for a preset period of time while the object 104 is within the area 100 (e.g., dead, paralyzed, injured, unconscious, sleeping within an occluded area or a coverage gap).

Note that the processor is not required to determine whether the event is being experienced by the object 104 within the area 100 . As such, whether additionally or alternatively, the processor may determine, which may be independent of, agnostic to, or without the event, whether the action should be taken based on the set of data and takes the action based on the set of data, which may be independent of or without the event. For example, the processor may determine that no event

CLAIMS

Claims ( 22 )

What is claimed is:

1. A device, comprising:

a housing hosting a processor, an artificial intelligence (AI) accelerator, a time-of-flight (TOF) radar, and a communication interface, wherein the housing is positionable in a defined area having an object therein such that (a) the TOF radar is able to detect the object based on a respiratory rate and track the object in the defined area, generate a set of data based on tracking the object in the defined area, and send the set of data to the processor and (b) the processor forms a three-dimensional skeletal model based on the set of data and enables (i) the AI accelerator to determine whether the object is experiencing an event in the defined area based on the set of data and the three-dimensional skeletal model and (ii) the communication interface to take an action based on the AI accelerator determining the object to be experiencing the event in the defined area based on the set of data and the three-dimensional skeletal model, wherein the TOF radar operates in a K-band, wherein at least one of

(i) wherein the set of data is a first set of data, wherein (a) the TOF radar is able to track the object outside the defined area, generate a second set of data based on tracking the object outside the defined area, and send the second set of data to the processor and (b) the processor is programmed to discard, remove, delete, or ignore the second set of data,

(ii) wherein the event is related to the object being absent from the defined area for a preset period of time,

(iii) wherein the event is related to the object not being tracked in the defined area for a preset period of time while the object is in the defined area, or

(iv) wherein the defined area has a corner, wherein the processor is programmed to generate an output on where to position or re-position the housing before the action.

2. The device of claim 1 , wherein the AI accelerator volumetrically determines whether the object is experiencing the event in the defined area based on the set of data.

3. The device of claim 1 , wherein the object is a first object, wherein the set of data is a first set of data, wherein the TOF radar is able to track a second object in the defined area, generate a second set of data based on tracking the second object in the defined area, and send the second set of data to the processor such that the processor enables the AI accelerator to distinguish the first object from the second object to determine whether the object is experiencing the event in the defined area based on the set of data.

4. The device of claim 3 , wherein the second object is a pet.

5. The device of claim 1 , wherein the housing hosts a set of microphones such that the set of microphones is able to receive a set of acoustic inputs generated from the object in the defined area to enable the processor to confirm or validate the set of data.

6. The device of claim 1 , wherein the set of data is a first set of data, wherein (a) the TOF radar is able to track the object outside the defined area, generate a second set of data based on tracking the object outside the defined area, and send the second set of data to the processor and (b) the processor is programmed to discard, remove, delete, or ignore the second set of data.

7. The device of claim 1 , wherein the event is related to the object remaining still for a preset period of time in the defined area.

8. The device of claim 1 , wherein the event is related to the object being absent from the defined area for a preset period of time.

9. The device of claim 1 , wherein the event is related to the object not being tracked in the defined area for a preset period of time while the object is in the defined area.

10. The device of claim 1 , wherein the defined area has a corner, wherein the processor is programmed to generate an output on where to position or re-position the housing before the action.

11. The device of claim 1 , wherein the event is a diagnosis estimate or a diagnosis forecast.

12. The device of claim 1 , wherein the TOF radar has a field of view of about 120 degrees horizontal and about 90 degrees vertical.

13. The device of claim 1 , wherein the TOF radar includes a set of phased arrays each comprising a set of patch antennas.

14. The device of claim 1 , wherein the processor is programmed to access a set of attributes for the object before the action and create a profile for the object based on the set of attributes before the action such that the AI accelerator determines whether the object is experiencing the event in the defined area based on the set of data and the profile.

15. The device of claim 1 , wherein the TOF radar is actively cooled.

16. The device of claim 1 , wherein the TOF radar is passively cooled.

17. The device of claim 1 , wherein the housing hosts at least one of an accelerometer, a gyroscope, a compass, a light sensor, a temperature sensor, a humidity sensor, or a particulate sensor.

18. A method, comprising:

enabling a user to:

position a housing hosting a processor, an artificial intelligence (AI) accelerator, a time-of-flight (TOF) radar, and a communication interface in a defined area having an object therein such that (a) the TOF radar is able to detect the object based on a respiratory rate and track the object in the defined area, generate a set of data based on tracking the object in the defined area, and send the set of data to the processor and (b) the processor forms a three-dimensional skeletal model based on the set of data and enables (i) the AI accelerator to determine whether the object is experiencing an event in the defined area based on the set of data and three-dimensional skeletal model and (ii) the communication interface to take an action based on the AI accelerator determining the object to be experiencing the event in the defined area based on the set of data and the three-dimensional skeletal model, wherein the TOF radar operates in a K-band, wherein at least one of

(i) wherein the set of data is a first set of data, wherein (a) the TOF radar is able to track the object outside the defined area, generate a second set of data based on tracking the object outside the defined area, and send the second set of data to the processor and (b) the processor is programmed to discard, remove, delete, or ignore the second set of data,

(ii) wherein the event is related to the object being absent from the defined area for a preset period of time,

(iii) wherein the event is related to the object not being tracked in the defined area for a preset period of time while the object is in the defined area, or

(iv) wherein the defined area has a corner, wherein the processor is programmed to generate an output on where to position or re-position the housing before the action.

19. The method of claim 18 , wherein the set of data is a first set of data, wherein (a) the TOF radar is able to track the object outside the defined area, generate a second set of data based on tracking the object outside the defined area, and send the second set of data to the processor and (b) the processor is programmed to discard, remove, delete, or ignore the second set of data.

20. The method of claim 18 , wherein the event is related to the object being absent from the defined area for a preset period of time.

21. The method of claim 18 , wherein the event is related to the object not being tracked in the defined area for a preset period of time while the object is in the defined area.

22. The method of claim 18 , wherein the defined area has a corner, wherein the processor is programmed to generate an output on where to position or re-position the housing before the action.

US18/239,294

2021-02-25

2023-08-29

Technologies for tracking objects within defined areas

Active

US12429576B2

( en )

Priority Applications (2)

Application Number

Priority Date

Filing Date

Title

US18/239,294

US12429576B2

( en )

2021-02-25

2023-08-29

Technologies for tracking objects within defined areas

US19/331,311

US20260016589A1

( en )

2021-02-25

2025-09-17

Technologies for tracking objects within defined areas

Applications Claiming Priority (4)

Application Number

Priority Date

Filing Date

Title

US202163153795P

2021-02-25

2021-02-25

US202163162476P

2021-03-17

2021-03-17

US17/680,734

US11747463B2

( en )

2021-02-25

2022-02-25

Technologies for tracking objects within defined areas

US18/239,294

US12429576B2

( en )

2021-02-25

2023-08-29

Technologies for tracking objects within defined areas

Related Parent Applications (1)

Application Number

Title

Priority Date

Filing Date

US17/680,734

Continuation

US11747463B2

( en )

2021-02-25

2022-02-25

Technologies for tracking objects within defined areas

Related Child Applications (1)

Application Number

Title

Priority Date

Filing Date

US19/331,311

Continuation

US20260016589A1

( en )

2021-02-25

2025-09-17

Technologies for tracking objects within defined areas

Publications (2)

Publication Number

Publication Date

US20230408674A1

US20230408674A1 ( en )

2023-12-21

US12429576B2

true

US12429576B2 ( en )

2025-09-30

Family

ID=82899476

Family Applications (3)

Application Number

Title

Priority Date

Filing Date

US17/680,734

Active

2042-02-25

US11747463B2

( en )

2021-02-25

2022-02-25

Technologies for tracking objects within defined areas

US18/239,294

Active

US12429576B2

( en )

2021-02-25

2023-08-29

Technologies for tracking objects within defined areas

US19/331,311

Pending

US20260016589A1

( en )

2021-02-25

2025-09-17

Technologies for tracking objects within defined areas

Family Applications Before (1)

Application Number

Title

Priority Date

Filing Date

US17/680,734

Active

2042-02-25

US11747463B2

( en )

2021-02-25

2022-02-25

Technologies for tracking objects within defined areas

Family Applications After (1)

Application Number

Title

Priority Date

Filing Date

US19/331,311

Pending

US20260016589A1

( en )

2021-02-25

2025-09-17

Technologies for tracking objects within defined areas

Country Status (8)

Country

Link

US

( 3 )

US11747463B2

( en )

EP

( 1 )

EP4298463A4

( en )

JP

( 2 )

JP7669505B2

( en )

KR

( 2 )

KR20250139418A

( en )

AU

( 1 )

AU2022226241B2

( en )

CA

( 1 )

CA3209555A1

( en )

TW

( 2 )

TW202605407A

( en )

WO

( 1 )

WO2022182933A1

( en )

Families Citing this family (38)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US12094614B2

( en )

*

2017-08-15

2024-09-17

Koko Home, Inc.

Radar apparatus with natural convection

US11997455B2

( en )

2019-02-11

2024-05-28

Koko Home, Inc.

System and method for processing multi-directional signals and feedback to a user to improve sleep

US11971503B2

( en )

2019-02-19

2024-04-30

Koko Home, Inc.

System and method for determining user activities using multiple sources

US10810850B2

( en )

2019-02-19

2020-10-20

Koko Home, Inc.

System and method for state identity of a user and initiating feedback using multiple sources

US11719804B2

( en )

2019-09-30

2023-08-08

Koko Home, Inc.

System and method for determining user activities using artificial intelligence processing

EP3809259B1

( en )

*

2019-10-16

2023-08-16

NXP USA, Inc.

Network node firmware update

US12540997B2

( en )

2019-11-27

2026-02-03

Rockwell Collins, Inc.

System and method for application of doppler null scanning (DNS) to position navigation timing (PNT)

US12050279B2

( en )

2019-11-27

2024-07-30

Rockwell Collins, Inc.

Doppler nulling spatial awareness (DNSA) solutions for non-terrestrial networks

US12618929B2

( en )

2019-11-27

2026-05-05

Rockwell Collins, Inc.

Navigational beaconing via doppler null scanning (DNS)

US11977173B2

( en )

2019-11-27

2024-05-07

Rockwell Collins, Inc.

Spoofing and denial of service detection and protection with doppler nulling (spatial awareness)

US12137048B2

( en )

2019-11-27

2024-11-05

Rockwell Collins, Inc.

System and method for spatial awareness network routing

US12571868B2

( en )

2019-11-27

2026-03-10

Rockwell Collins, Inc.

Doppler null scanning for coordination including expendable platforms (spatial awareness)

US12553978B2

( en )

2019-11-27

2026-02-17

Rockwell Collins, Inc.

Proactive link acquisition (spatial awareness)

US12546845B2

( en )

2021-11-23

2026-02-10

Rockwell Collins, Inc.

Search and rescue system with doppler-nulling spatial awareness

US12474431B2

( en )

2019-11-27

2025-11-18

Rockwell Collins, Inc.

Doppler-nulling and two-way timing and ranging (spatial awareness)

US12111406B2

( en )

2019-11-27

2024-10-08

Rockwell Collins, Inc.

Adaptive doppler-nulling digitization for high-resolution

US12504496B2

( en )

2019-11-27

2025-12-23

Rockwell Collins, Inc.

Station keeping using doppler null scanning

US12584986B2

( en )

2019-11-27

2026-03-24

Rockwell Collins, Inc.

Reliable efficient flooding with Doppler nulling (spatial awareness)

US12153150B2

( en )

2019-11-27

2024-11-26

Rockwell Collins, Inc.

Doppler nulling scanning (DNS) security (spatial awareness)

US12498442B2

( en )

2019-11-27

2025-12-16

Rockwell Collins, Inc.

Robust addressing schema for spatial awareness via doppler null scanning (DNS)

US12523733B2

( en )

2019-11-27

2026-01-13

Rockwell Collins, Inc

Directional enhancements for mobile ad hoc networks (MANET) via doppler null scanning (DNS)

US12326506B2

( en )

2019-11-27

2025-06-10

Rockwell Collins, Inc.

DNS spatial discoveries with on-going traffic

US11875659B2

( en )

*

2019-12-12

2024-01-16

Google Llc

Privacy-preserving radar-based fall monitoring

US20220004949A1

( en )

*

2020-03-30

2022-01-06

Cherry Labs, Inc.

System and method for artificial intelligence (ai)-based activity tracking for protocol compliance

US11240635B1

( en )

2020-04-03

2022-02-01

Koko Home, Inc.

System and method for processing using multi-core processors, signals, and AI processors from multiple sources to create a spatial map of selected region

US12070324B2

( en )

2020-08-11

2024-08-27

Google Llc

Contactless sleep detection and disturbance attribution for multiple users

CN112859000B

( en )

*

2020-12-31

2023-09-12

华为技术有限公司

Sound source positioning method and device

JP7826328B2

( en )

*

2021-10-29

2026-03-09

パナソニックオートモーティブシステムズ株式会社

Radar device and radar signal transmission method

US12318203B2

( en )

*

2022-08-15

2025-06-03

Know Labs, Inc.

Vehicle interface systems and methods for analyte-based access control

US20240144803A1

( en )

*

2022-10-26

2024-05-02

Resmed Inc.

Sensor data individualization using defined and learned region data

WO2024097300A1

( en )

*

2022-11-03

2024-05-10

Tellus You Care, Inc.

Mapping a living area using lidar

TWI827435B

( en )

*

2023-01-06

2023-12-21

南臺學校財團法人南臺科技大學

A urination detection method and system

CN116819507A

( en )

*

2023-03-13

2023-09-29

一汽解放青岛汽车有限公司

Target detection method and device, electronic equipment and storage medium

KR102621789B1

( en )

*

2023-04-21

2024-01-09

한국전자기술연구원

Apparatus and method for determining the position of an object sensed by a radar using spatial voxelization

WO2024229298A1

( en )

*

2023-05-04

2024-11-07

Koko Home, Inc.

Radar input for large language model

US12554589B2

( en )

*

2023-12-08

2026-02-17

International Business Machines Corporation

Recovery point objective validator

CN119538333B

( en )

*

2024-11-14

2025-09-30

中科可控信息产业有限公司

Alarm method, device, server, storage medium and program product

TWI908581B

( en )

*

2025-01-08

2025-12-11

國立臺灣科技大學

Dual-band image sensing device, image analysis method and applications thereof

Citations (108)

* Cited by examiner, † Cited by third party

Publication number

Priority date

Publication date

Assignee

Title

US4672457A

( en )

*

1970-12-28

1987-06-09

Hyatt Gilbert P

Scanner system

US20050046584A1

( en )

1992-05-05

2005-03-03

Breed David S.

Asset system control arrangement and method

US20060267652A1

( en )

2005-05-25

2006-11-30

Camero-Tech Ltd.

Narrow ultra wideband pulse generator

US20070085690A1

( en )

2005-10-16

2007-04-19

Bao Tran

Patient monitoring apparatus

WO2007099524A2

( en )

2006-02-28

2007-09-07

Mti Wireless Edge, Ltd.

Ultra wide band flat antenna

EP1835472A2

( en )

2006-03-17

2007-09-19

Hitachi, Ltd.

Object detection apparatus

WO2007113824A2

( en )

2006-04-03

2007-10-11

Camero-Tech Ltd.

System and method for volume visualization in ultra-wideband radar

US20080007445A1

( en )

2006-01-30

2008-01-10

The Regents Of The University Of Ca

Ultra-wideband radar sensors and networks

US7432847B2

( en )

2004-06-03

2008-10-07

Wireless 2000 Rf & Uwb Technologies Ltd.

Ultra-wideband transceiver

WO2008129538A1

( en )

2007-04-18

2008-10-30

Camero-Tech Ltd.

Method and system for volume rendering

US20080294019A1

( en )

2007-05-24

2008-11-27

Bao Tran

Wireless stroke monitoring

US20090033548A1

( en )

2007-08-01

2009-02-05

Camero-Tech Ltd.

System and method for volume visualization in through-the-obstacle imaging system

EP1934628B1

( en )

2005-09-06

2010-02-24

Camero-Tech Ltd.

Through-wall imaging device

EP2239595A2

( en )

2009-03-10

2010-10-13

BIRD Aerosystems Limited

Device, system and method of protecting aircrafts against incoming threats

US20110205121A1

( en )

2005-12-28

2011-08-25

Camero-Tech Ltd.

Method of determining real time location of reflecting objects and system thereof

US20130002434A1

( en )

*

2011-06-30

2013-01-03

General Electric Company

Radar based systems and methods for detecting a fallen person

US8428696B2

( en )

2006-03-06

2013-04-23

Sensiotec Inc.

Ultra wideband monitoring systems and antennas

IL187708A

( en )

2007-11-28

2013-04-30

Camero Tech Ltd

Through-the-obstacle radar system and method of operation

US8454528B2

( en )

2008-04-03

2013-06-04

Kai Medical, Inc.

Non-contact physiologic motion sensors and methods for use

US8460220B2

( en )

2009-12-18

2013-06-11

General Electric Company

System and method for monitoring the gait characteristics of a group of individuals

US8494615B2

( en )

2010-03-26

2013-07-23

Vayyar Imaging Ltd.

Apparatus and method for doppler-assisted MIMO radar microwave imaging

JP2013538602A

( en )

2010-08-12

2013-10-17

コーニンクレッカ フィリップス エヌ ヴェ

Apparatus, system and method for measuring vital signs

US20130300573A1

( en )

2010-05-20

2013-11-14

Lifeflow Technologies, Inc.

Patient monitoring and surveillance system, methods, and devices

US20140055297A1

( en )

2012-08-23

2014-02-27

Camero-Tech Ltd.

System and method for volume visualization in ultra-wideband radar imaging system

US8840564B2

( en )

2004-02-05

2014-09-23

Early Sense Ltd.

Monitoring a condition of a subject

US8884813B2

( en )

2010-01-05

2014-11-11

The Invention Science Fund I, Llc

Surveillance of stress conditions of persons using micro-impulse radar

US20140378809A1

( en )

2013-06-20

2014-12-25

Mary Ann WEITNAUER

Systems and methods for extracting physiological characteristics using frequency harmonics

EP1977266B1

( en )

2005-12-28

2015-04-01

Camero-Tech Ltd., ,

Automatic delay calibration and tracking for ultra-wideband antenna array

US9019149B2

( en )

2010-01-05

2015-04-28

The Invention Science Fund I, Llc

Method and apparatus for measuring the motion of a person

US9024814B2

( en )

2010-01-05

2015-05-05

The Invention Science Fund I, Llc

Tracking identities of persons using micro-impulse radar

US9069067B2

( en )

2010-09-17

2015-06-30

The Invention Science Fund I, Llc

Control of an electronic apparatus using micro-impulse radar

US9125628B2

( en )

2011-09-21

2015-09-08

Mitsumasa Saitoh

Device for sensing human body abnormality by standing-wave radar and method for using same

US9131902B2

( en )

2004-02-05

2015-09-15

Earlysense Ltd.

Prediction and monitoring of clinical episodes

US9615765B2

( en )

2012-09-04

2017-04-11

Vayyar Imaging Ltd.

Wideband radar with heterogeneous antenna arrays

WO2017062566A1

( en )

2015-10-06

2017-04-13

Google Inc.

Radar-enabled sensor fusion

US20170154516A1

( en )

2013-03-15

2017-06-01

Nonnatech Inc.

Hands-free assistive and preventive remote monitoring system

US9753131B2

( en )

2013-10-09

2017-09-05

Massachusetts Institute Of Technology

Motion tracking via body radio reflections

US9766332B2

( en )

2014-12-11

2017-09-19

Htc Corporation

Non-contact monitoring system and method thereof

US20170299710A1

( en )

2014-12-15

2017-10-19

Jj Corp

Radar detector for recognizing user's motion

US20170300047A1

( en )

2012-03-02

2017-10-19

Orbital Atk, Inc.

Methods and apparatuses for engagement management of aerial threats

US9883821B2

( en )

2010-09-22

2018-02-06

Koninklijke Philips N.V.

Method and apparatus for monitoring the respiration activity of a subject

WO2018078627A1

( en )

2016-10-30

2018-05-03

Camero-Tech Ltd.

Method of walk-through security inspection and system thereof

US20180143318A1

( en )

2016-11-22

2018-05-24

4Sense, Inc.

Visible-Light- and Time-of-Flight-Based Passive Tracking System

US20180231653A1

( en )

*

2017-02-14

2018-08-16

Microsoft Technology Licensing, Llc

Entity-tracking computing system

TW201835603A

( en )

2017-03-01

2018-10-01

美商奧斯特公司

Accurate photodetector measurement for optical

US20180352356A1

( en )

2015-11-23

2018-12-06

Essence Smartcare Ltd.

Analog and digital microphone

US20190057777A1

( en )

2017-08-15

2019-02-21

Totemic Labs, Inc.

System and method for processing wireless backscattered signal using artificial intelligence processing for activities of daily life

US20190108913A1

( en )

2017-10-06

2019-04-11

Tellus You Care, Inc.

Vital signs with non-contact activity sensing network for elderly care

US10258295B2

( en )

2017-05-09

2019-04-16

LifePod Solutions, Inc.

Voice controlled assistance for monitoring adverse events of a user and/or coordinating emergency actions such as caregiver communication

US20190139389A1

( en )

2016-08-19

2019-05-09

Miku, Inc.

System and Method for Monitoring Life Signs of a Person

US20190162821A1

( en )

2016-09-08

2019-05-30

Magna Closures Inc.

Radar detection system for non-contact human activation of powered closure member

US10307084B2

( en )

2015-06-30

2019-06-04

Zibrio Inc.

Identifying fall risk using machine learning algorithms

US20190188533A1

( en )

2017-12-19

2019-06-20

Massachusetts Institute Of Technology

Pose estimation

US20190197861A1

( en )

2017-07-27

2019-06-27

NXT-ID, Inc.

Method and system to improve accuracy of fall detection using multi-sensor fusion

US20190193280A1

( en )

2017-12-26

2019-06-27

Intuition Robotics, Ltd.

Method for personalized social robot interaction

JP2019518515A

( en )

2016-05-09

2019-07-04

エッセンス スマートケア リミテッドＥｓｓｅｎｃｅ Ｓｍａｒｔｃａｒｅ Ｌｔｄ．

System and method for estimating vital signs

US20190216393A1

( en )

2018-01-16

2019-07-18

Infineon Technologies Ag

System and method for vital signal sensing using a millimeter-wave radar sensor

US20190254544A1

( en )

2018-02-22

2019-08-22

Vayyar Imaging Ltd.

Detecting and measuring correlated movement with mimo radar

US20190265345A1

( en )

2018-02-26

2019-08-29

Infineon Technologies Ag

System and method for a voice-controllable apparatus

US20190273702A1

( en )

2018-03-02

2019-09-05

Intuition Robotics, Ltd.

Method for adjusting a device behavior based on privacy classes

US10410498B2

( en )

2017-10-06

2019-09-10

Tellus You Care, Inc.

Non-contact activity sensing network for elderly care

US10438473B2

( en )

2015-03-09

2019-10-08

Buddi Limited

Activity monitor

US20190392327A1

( en )

2018-06-24

2019-12-26

Intuition Robotics, Ltd.

System and method for customizing a user model of a device using optimized questioning

WO2020008458A2

( en )

2018-07-02

2020-01-09

Vayyar Imaging Ltd.

System and methods for environment mapping

US10536572B2

( en )

2017-02-10

2020-01-14

Ahranta Co., Ltd.

Emergency lifesaving system and emergency lifesaving method using the same

US10564275B2

( en )

2011-02-21

2020-02-18

TransRobotics, Inc.

System and method for sensing distance and/or movement

WO2020041761A1

( en )

2018-08-24

2020-02-27

Lutron Technology Company Llc

Occupant detection device

US20200082551A1

( en )

2018-08-24

2020-03-12

Lutron Technology Company Llc

Occupant counting device

US10617330B1

( en )

2019-02-11

2020-04-14

Totemic Labs, Inc.

System and method for processing using multi-core processors, signals and AI processors from multiple sources

US20200135198A1

( en )

2018-10-30

2020-04-30

Infineon Technologies Ag

Apparatus and User Interaction

US20200146550A1

( en )

2017-07-27

2020-05-14

NXT-ID, Inc.

Method and system to reduce infrastructure costs with simplified indoor location and reliable communications

US20200158849A1

( en )

2018-11-16

2020-05-21

Totemic Labs, Inc.

System and method for processing multi-directional frequency modulated continuous wave wireless backscattered signals

US20200178838A1

( en )

Related documents

• Virtual reality system using multiple force arrays for a solver — DeepMotion, Inc. (US10657696B2)#653961
• Augmented reality system with spatialized audio tied to user manipulated … — Magic Leap, Inc. (US11231770B2)#653963
• High-efficiency fuel cell system with carbon dioxide capture assembly and … — Fuelcell Energy, Inc. (US10170782B2)#653965
• Integrated electrochemical cell power generation and electrolysis systems — Czero, Inc. (US20250087711A1)#653966
• Generating augmented reality experiences utilizing physical objects to … — Meta Platforms Technologies, Llc (US20260037214A1)#653960