A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly
Abstract
Rehabilitation exergames can engage the elderly in physical activities and help them recover part of their deteriorating capabilities. However, most existing exergames lack measures of how suitable they are to specific individuals. In this paper, we propose the Computational Person-Environment Fit model to evaluate the adaptability of the exergames to each individual elderly user.
Cite
Text
Zhang et al. "A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.11070Markdown
[Zhang et al. "A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/zhang2017aaai-computational/) doi:10.1609/AAAI.V31I1.11070BibTeX
@inproceedings{zhang2017aaai-computational,
title = {{A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly}},
author = {Zhang, Hao and Miao, Chunyan and Yu, Han and Leung, Cyril},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2017},
pages = {5021-5022},
doi = {10.1609/AAAI.V31I1.11070},
url = {https://mlanthology.org/aaai/2017/zhang2017aaai-computational/}
}