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Recov-R: Evaluation of a Home-Based Tailored Exergame System to Reduce Fall Risk in Seniors

Published:16 July 2019Publication History
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Abstract

Rehabilitation has proven effective to significantly reduce fall risk in seniors; however, low adherence to home rehabilitation and a lack of feedback on performance and progress indicate that seniors might not receive the amount of therapy necessary to reduce their risk of falling. We present a tailored exergame system for the home (called Recov-R) to motivate seniors to exercise and facilitate effective recovery by promoting optimal quality of movement during exercise. Based on an 8-week field study, with 38 participants, we present results on the use of the Recov-R system, versus standard care, in the home. Our findings suggest that the use of the system can increase adherence to exercise and reduce fall risk by improving outcomes of physical function—mobility and balance. We also highlight opportunities, based on these results, for the design of effective exergame technologies for musculoskeletal rehabilitation in the home.

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        cover image ACM Transactions on Computer-Human Interaction
        ACM Transactions on Computer-Human Interaction  Volume 26, Issue 4
        August 2019
        251 pages
        ISSN:1073-0516
        EISSN:1557-7325
        DOI:10.1145/3341168
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        Publication History

        • Published: 16 July 2019
        • Accepted: 1 April 2019
        • Revised: 1 March 2019
        • Received: 1 July 2017
        Published in tochi Volume 26, Issue 4

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