Looking Glass: Bimanual Balanced Reaching With Visual Biofeedback

The goal of this research study is to increase understanding of error augmentation by applying it to visual feedback during motion tracking with a Leap Motion device - a recently developed optical hand tracking tool - and the LookingGlass - a new, portable virtual reality environment. In conjunction with the Leap, large, three dimensional work spaces can provide an immersive and virtual augmented environment for rehabilitation. Previously, experiments have utilized the Virtual Reality Robotic and Optical Operations Machine (VRROOM) to create such visually immersive environments. The Robotics lab as part of the Arms and Hands Lab on the 22nd floor of the Shirley Ryan Abilitylab has developed a portable version of this system, which is more compact and clinic-compatible. Combining this visual 3D system with the Leap creates a novel, more capable apparatus for studying error augmentation. This research study will have 3 different arms: 1.) a healthy group of individuals (Healthy Arm), 2.) a group of stroke survivors within 8 months of stroke (Acute Arm), and 3.) a group of stroke survivors that had their stroke more than 8 months ago (Chronic Arm). Each Arm will use the Leap motion tracker and the Looking Glass to participate in a reaching intervention. The healthy arm will only participate in 1 visit with an intervention with and without error augmented visual feedback. The Acute Arm and the Chronic Arm will both have 2 groups: 1.) Error Augmented Visual Feedback group and 2.) Non-Augmented or Veridical Visual Feedback group. The Chronic Arm will have a structured intervention and evaluation protocol: Study staff will administer outcome assessments at 3 time points: a.) prior to intervention, b.) post intervention, and c.) 2 months after the conclusion of intervention. Intervention will occur over the span of 6-8 weeks with the goal of 3 1-hour sessions per week. The Acute Arm will have a less structured intervention that will occur while the participant is an in