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BIGHand - A bilateral, integrated, and gamified handgrip stroke rehabilitation system for independent at-home exercise: demo abstract

Online:10 November 2019Publication History

ABSTRACT

Effective home rehabilitation is important for recovery of hand grip ability in post-stroke individuals. This paper presents BIGHand, a bilateral, integrated, and gamified handgrip stroke rehabilitation system for independent at-home exercise. BIGHand consists of affordable sensor-integrated hardware (Vernier hand dynamometers, Arduino Uno, interface shield) used to obtain real-time grip force data, and a set of exergames designed as parts of an interactive structural rehabilitation program. This program pairs targeted difficulty progression with user-ability scaled controls to create an adaptive, challenging, and enticing rehabilitation environment. This training prepares users for the many activities of daily living (ADLs) by targeting strength, bilateral coordination, hand-eye coordination, speed, endurance, precision, and dynamic grip force adjustment. Multiple measures are taken to engage, motivate, and guide users through the at-home rehabilitation process, including "smart" post-game feedback and in-game goals. A demo video is available at https://youtu.be/zrLVkZZ4Ukc.

References

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  • Published in

    ACM Conferences cover image
    SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor Systems
    November 2019
    472 pages
    ISBN:9781450369503
    DOI:10.1145/3356250

    Copyright © 2019 Owner/Author

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Online: 10 November 2019
    • Published: 10 November 2019

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    Overall Acceptance Rate 101 of 571 submissions, 18%
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