GEM: Gear-based Environment-Integrated Mobility for Adaptive Indoor Human Sensing

[2505.10546] GEM: Gear-based Environment-Integrated Mobility for Adaptive Indoor Human Sensing Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Systems and Control arXiv:2505.10546 (eess) [Submitted on 15 May 2025 ( v1 ), last revised 10 Apr 2026 (this version, v2)] Title: GEM: Gear-based Environment-Integrated Mobility for Adaptive Indoor Human Sensing Authors: Shubham Rohal (1), Dong Yoon Lee (1), Phuc Nguyen (2), Shijia Pan (1) ((1) University of California Merced,(2) University of Massachusetts Amherst) View a PDF of the paper titled GEM: Gear-based Environment-Integrated Mobility for Adaptive Indoor Human Sensing, by Shubham Rohal (1) and 4 other authors View PDF HTML (experimental) Abstract: Infrastructure-based sensing systems, like Wi-Fi, thermal, vibration-based approaches, provide continuous and unobtrusive indoor human monitoring services. They are often deployed statically for long-term continuous monitoring, which often leads to inefficient sensing/inflexible deployment due to human mobility or high maintenance/data volume for dense deployments. In contrast, autonomous and human carried mobile devices can better adapt to human mobility. However, their physical presence (e.g., drones or robots) may induce observer effects, while their operation often imposes additional burdens, such as wearing (e.g., wearables) and frequent charging. We present GEM, a hybrid scheme that introduces the mobility to infrastructure-based sensing. GEM integrates a matrix of gears into everyday surfaces (e.g., floors, walls) to turn them into "public transportation" for moving infrastructure sensors around. We design and fabricate a 3 x 3 gear matrix prototype that can effectively move sensors from one location to another. We further validate the scalability of the design through simulation of up to 64 x 64 gear matrix with concurrent sensors. Subjects: Systems and Control (eess.SY) Cite as: arXiv:2505.10546 [eess.SY] (or arXiv:2505.10546v2 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2505.10546 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Shubham Rohal [ view email ] [v1] Thu, 15 May 2025 17:55:08 UTC (4,674 KB) [v2] Fri, 10 Apr 2026 22:06:10 UTC (3,965 KB) Full-text links: Access Paper: View a PDF of the paper titled GEM: Gear-based Environment-Integrated Mobility for Adaptive Indoor Human Sensing, by Shubham Rohal (1) and 4 other authors View PDF HTML (experimental) TeX Source view license Current browse context: eess.SY < prev | next > new | recent | 2025-05 Change to browse by: cs cs.SY eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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