A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly

Authors

  • Hao Zhang Nanyang Technological University
  • Chunyan Miao Nanyang Technological University
  • Han Yu Nanyang Technological University
  • Cyril Leung University of British Columbia

DOI:

https://doi.org/10.1609/aaai.v31i1.11070

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.

AAAI-2017 Proceedings Cover

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Published

2017-02-12

How to Cite

Zhang, H., Miao, C., Yu, H., & Leung, C. (2017). A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.11070

Issue

Vol. 31 No. 1 (2017): Thirty-First AAAI Conference on Artificial Intelligence

Section

Student Abstract Track