Journal of Robotics, Networking and Artificial Life

Volume 6, Issue 4, March 2020, Pages 270 - 273

Big Data and AI Approach for Body and Brain Test for Seniors

Authors
Henrik Hautop Lund*, Yan-Xin Liu, Massimiliano Leggieri
Center for Playware, Technical University of Denmark, Building 326, 2800 Kgs., Lyngby, Denmark
*Corresponding author. Email: hhl@playware.dtu.dk
Corresponding Author
Henrik Hautop Lund
Received 25 November 2019, Accepted 5 December 2019, Available Online 29 February 2020.
DOI
10.2991/jrnal.k.200222.007How to use a DOI?
Keywords
Playware; Moto Tiles; Big Data; AI
Abstract

We developed a Big Data and AI approach for the screening and early detection of health risks among seniors. The approach is based on seniors performing playful activities on the Moto Tiles. The activities are organized in a Body & Brain Age Test, which is composed on four games of 30 s each on the Moto Tiles. A whole population of individuals take the Body & Brain Age Test, and the performance data is collected for each game in the test. The Big Data approach allows the system to identify the nominal score for each age. The system can automatically generate a personalized training protocol based on the score in the Body & Brain Age Test. This is done by using the performance score to identify which physical and/or cognitive abilities are in need of training, and then generate a protocol based on Moto Tiles games, which tend to increase those particular skills as verified in clinical effect studies. The suitability of the method was tested in a small effect test with seniors with mild dementia at a care institution in Denmark. The results show that the seniors with dementia who were screened to be at high risk of falling, within the short period of training with the automatically generated personalized protocol increased their skills to no longer be at risk of falling.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 4
Pages
270 - 273
Publication Date
2020/02/29
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.200222.007How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Henrik Hautop Lund
AU  - Yan-Xin Liu
AU  - Massimiliano Leggieri
PY  - 2020
DA  - 2020/02/29
TI  - Big Data and AI Approach for Body and Brain Test for Seniors
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 270
EP  - 273
VL  - 6
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200222.007
DO  - 10.2991/jrnal.k.200222.007
ID  - Lund2020
ER  -