The design and evaluation of electromyography and inertial biofeedback in hand motor therapy gaming - Université d'Évry Access content directly
Journal Articles Assistive Technology: The Offical Journal of RESNA Year : 2022

The design and evaluation of electromyography and inertial biofeedback in hand motor therapy gaming

Abstract

This article details the design of a co-created, evidence-based biofeedback therapy game addressing the research question: is the biofeedback implementation efficient, effective, and engaging for promoting quality movement during a therapy game focused on hand gestures? First, we engaged nine young people with Cerebral Palsy (CP) as design partners to co-create the biofeedback implementation. A commercially available, tap-controlled game was converted into a gesture-controlled game with added biofeedback. The game is controlled by forearm electromyography and inertial sensors. Changes required to integrate biofeedback are described in detail and highlight the importance of closely linking movement quality to short- and long-term game rewards. After development, 19 participants (8–17 years old) with CP played the game at home for 4 weeks. Participants played 17 ± 9 min/day, 4 ± 1 day/week. The biofeedback implementation proved efficient (i.e. participants reduced compensatory arm movements by 10.2 ± 4.0%), effective (i.e. participants made higher quality gestures over time), and engaging (i.e. participants consistently chose to review biofeedback). Participants found the game usable and enjoyable. Biofeedback design in therapy games should consider principles of motor learning, best practices in video game design, and user perspectives. Design recommendations for integrating biofeedback into therapy games are compiled in an infographic to support interdisciplinary knowledge sharing.
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Dates and versions

hal-02570258 , version 1 (23-05-2023)

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Alexander Macintosh, Nicolas Vignais, Vincent Vigneron, Linda Fay, Alain Musielak, et al.. The design and evaluation of electromyography and inertial biofeedback in hand motor therapy gaming. Assistive Technology: The Offical Journal of RESNA, 2022, 34 (2), pp.213-221. ⟨10.1080/10400435.2020.1744770⟩. ⟨hal-02570258⟩
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