Utilizing a Big Data and AI approach, we developed a novel playful method for screening people for potential physical and cognitive shortages. The method creates a body and brain performance map for each individual, and the Big Data analysis provides a basis for automatically identifying the particular abilities, which may be underperforming in an individual. Further, several studies including randomized controlled trials with the Moto Tiles system have shown that particular Moto Tiles game play will increase performance of particular abilities, even after short-term play. Thereby, the proposed system can automatically generate personalized training protocols for the individual by selecting and providing the right Moto Tiles games for the individual to play to improve the underperforming abilities. 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.
|Title of host publication
|Proceedings of the 2020 International Conference on Artificial Life and Robotics
|ALife Robotics Co, Ltd.
|Published - 2020
|2020 International Conference on Artificial Life and Robotics - B-Con Plaza, Beppu, Japan
Duration: 13 Jan 2020 → 16 Jan 2020
|2020 International Conference on Artificial Life and Robotics
|13/01/2020 → 16/01/2020
|Proceedings of International Conference on Artificial Life and Robotics