Body and Brain Training with Big Data and AI 2-A Pilot Test of Falls Prevention

Henrik Hautop Lund, Yan-Xin Liu, Massimiliano Leggieri

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    Abstract

    The paper presents the pilot test of the Moto Tiles Body & Brain Test combined with automatically generated individualized training protocols. The test is performed with seniors (avg. 80 years old) with mild dementia in senior care centers in Roskilde, Denmark. The seniors performed pre- and posttest on tests correlated with timed-up-and-go (TUG), chair-to-stand (CS), and four square stepping test (FSST). During the intervention, the dementia-affected seniors performed their individualized training on the Moto Tiles games over 3 weeks with an average total of 9 sessions of 7 minutes each. On average, the seniors improve 41%, 31%, 42% and 3% on the four tests. In terms of cut-points for multiple falls risk, the seniors are at high risk at pre-test, while they are at low risk at post-test. This indicates that the very short time (1h over 3 weeks) playful training on Moto Tiles can potentially bring seniors from high risk of falling to a much lower risk of falling. The present study is a small pilot test, and results should be verified in randomized controlled trial(s).
    Original languageEnglish
    Title of host publicationProceedings of the 2020 International Conference on Artificial Life and Robotics
    PublisherALife Robotics Co, Ltd.
    Publication date2020
    Pages10-13
    ISBN (Print)9784990835057
    DOIs
    Publication statusPublished - 2020
    Event2020 International Conference on Artificial Life and Robotics - B-Con Plaza, Beppu, Japan
    Duration: 13 Jan 202016 Jan 2020
    http://alife-robotics.co.jp/

    Conference

    Conference2020 International Conference on Artificial Life and Robotics
    LocationB-Con Plaza
    Country/TerritoryJapan
    CityBeppu
    Period13/01/202016/01/2020
    Internet address
    SeriesProceedings of International Conference on Artificial Life and Robotics
    Volume25
    ISSN2188-7829

    Keywords

    • Playware
    • Cognition
    • Aging
    • Game

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