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Seed Grant Awardee: Jorge Caviedes

Jorge Caviedes (video) | School of Computing Informatics, and Decision Systems Engineering

In this project, we propose immersive biofeedback for spinal fitness training and rehab therapy exercise based on a 3D visualization of an athlete-specific, anatomically correct spine model that is animated by wireless sensors. The spine model is a high-end anatomical model customized with parameters obtained by a spinal surface scan and animated by signals from a wearable stretch sensor array. A real-time 3D virtual reality (VR) animation showing the effect of exercise on the spinal curve, range of motion, and progress towards the goals of the program will be shown to the athlete using lightweight AR glasses. The visualization is semi-transparent such that the viewer is fully aware of his/her surroundings while the 3D AR model is shown. The goal is to develop a working prototype of immersive biofeedback for spinal exercise and conduct pilot tests with athletes and fitness enthusiasts during exercise routines and rehab therapy. The preliminary data from such research will be essential to submit NIH and NSF grant proposals for field trials and product development.

Read the final paper from this GSI-funded project here.

Last Updates July 2021.