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

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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
CountryJapan
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

Cite this

Lund, H. H., Liu, Y-X., & Leggieri, M. (2020). Body and Brain Training with Big Data and AI 2-A Pilot Test of Falls Prevention. In Proceedings of the 2020 International Conference on Artificial Life and Robotics (pp. 10-13). ALife Robotics Co, Ltd.. Proceedings of International Conference on Artificial Life and Robotics, Vol.. 25 https://doi.org/10.5954/ICAROB.2020.IS2-2