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


Authors: H. Zhang, C. Miao, H. Yu, and C. Leung
Title: 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.
Keywords: 
Conference Name: 31st AAAI Conference on Artificial Intelligence (AAAI'17)
Location: San Francisco, USA
Publisher: AAAI
Year: 2017
Accepted PDF File: A_Computational_Assessment_Model_for_the_Adaptive_Level_of_Rehabilitation_Exergames_for_the_Elderly_accepted.pdf
Permanent Link: http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14232
Reference: H. Zhang, C. Miao, H. Yu, and C. Leung, “A computational assessment model for the adaptive level of rehabilitation exergames for the elderly,” in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17). AAAI, February 2017, pp. 5021–5022.
bibtex: 
@inproceedings{LILY-c111, 
    author	= {Zhang, Hao and Miao, Chunyan and Yu, Han and Leung, Cyril},
    title	= {A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly},  
    booktitle	= {Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17)}, 
    year		= {2017}, 
    month	= {February}, 
    pages	= {5021-5022}, 
    location	= {San Francisco, USA},
    publisher	= {AAAI},
 }