Delivering long term, unsupervised stroke rehabilitation in the home is a complex challenge that requires robust, low cost, scalable, and engaging solutions. We present HOMER, an interactive system that uses novel therapy artifacts, a computer vision approach, and a tablet interface to provide users with a flexible solution suitable for home based rehabilitation. HOMER builds on our prior work developing systems for lightly supervised rehabilitation use in the clinic, by identifying key features for functional movement analysis, adopting a simplified classification assessment approach, and supporting transferability of therapy outcomes to daily living experiences through the design of novel rehabilitation artifacts. A small pilot study with unimpaired subjects indicates the potential of the system in effectively assessing movement and establishing a creative environment for training.

Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Thanassis Rikakis, Kris M. Kitani: HOMER: An Interactive System for Home Based Stroke Rehabilitation. ASSETS 2017: 379-380

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Publication Details

Date of publication:
October 19, 2017
ACM SIGACCESS Conference on Computers and Accessibility
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