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.
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 […]
U of I Researchers, Moscow to Build on COVID-19 Wastewater Testing and AnalysisJuly 21, 2020
This news release, published by central University Communications and Marketing, was written by Alexiss Turner in the College of Engineering. IMCI has research partners and participants in nearly all U of I colleges. MOSCOW, Idaho — July 21, 2020 — Researchers at the University of Idaho have partnered with the City of Moscow to improve wastewater […]
Modeling COVID-19 in IdahoApril 16, 2020
Experts across the nation are using modeling to help make decisions regarding how to respond to COVID-19. But knowing the infection rate in New York or an estimated death toll in Washington state doesn’t really help our great state of Idaho. To address Idaho’s specific rural population, age distribution and travel, modeling researchers at Boise […]