The current methods in the literature for representing human motions are based on modeling the movements at a single level of abstraction, either at a low-level (i.e., trajectory level) of abstraction or at the high-level (i.e., symbolic level) of abstraction. The proposed project will exploit the latest advances in recurrent neural networks for modeling human motions at multiple hierarchical levels of abstraction. The ultimate aim is to allow patients to perform rehabilitation exercises at home using a sensory system for capturing the motions, where an algorithm will retrieve the trajectories of patient’s exercises, will perform a data analysis by comparing the performed motions to a model of desired motions, and will send the analysis results to the patient’s physician with recommendations for improvement.
What’s your COVID-19 exposure risk in a gathering?November 24, 2020
Thank you to reporter Kyle Pfannenstiel for highlighting some of U of I’s COVID-19 modeling efforts, as originally published in the Post Register. If you’ll be at the dinner table with people you don’t live with this week, research from the University of Idaho can help you gauge how likely you are to bump into someone who […]
It Takes a Village (and a Research University)November 20, 2020
This article was written by Alexiss Turner, Marketing and Communications Manager from the College of Engineering, for the recently published “Here We Have Idaho” magazine. IMCI and many of our faculty participants have been very involved in the COVID-19 pandemic response. We are proud to be part of the many research efforts campus-wide that continue […]
University of Idaho Receives Grant of Nearly $11M for Biomedical Research ModelingAugust 13, 2020
MOSCOW, Idaho — Aug. 13, 2020 — The University of Idaho has secured a grant of nearly $11 million from the National Institutes of Health to support continued modeling for biomedical research at U of I’s Institute for Modeling Collaboration and Innovation (IMCI). The funding comes as Phase 2 of a Centers of Biomedical Research Excellence (COBRE) grant […]