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    HOMER: An Interactive System for Home Based Stroke Rehabilitation

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    KelliherHOMER2017.pdf (792.9Kb)
    Downloads: 200
    Date
    2017
    Author
    Kelliher, Aisling
    Choi, Jinwoo
    Huang, Jia-Bin
    Rikakis, Thanassis
    Kitani, Kris
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    Abstract
    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.
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    http://hdl.handle.net/10919/82738
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    • Destination Area: Intelligent Infrastructure for Human-Centered Communities (IIHCC) [107]
    • Scholarly Works, Department of Computer Science [292]

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