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Fuzzy Logic Based Assessment on the Adaptive Level of Rehabilitation Exergames for the Elderly


Authors: H. Zhang, C. Miao, and H. Yu
Title: Fuzzy Logic Based Assessment on the Adaptive Level of Rehabilitation Exergames for the Elderly
Abstract: Rehabilitation exercises aim to help the elderly recover their deteriorating capabilities. Due to the advance in multimedia technologies, rehabilitation exergames are emerging and become more accessible for the elderly. Most existing exergames cannot adapt to specific individual's capabilities. In this paper, we propose a fuzzy logic based computational personenvironment fit model to bridge this gap. As such, unprofessional personnel who are in charge of the assignments of the exergame sessions, such as volunteers in community centres, may learn the usefulness of the particular exergames to the individual elderly. We also provide case studies to analyze the adaptive level of three exergames for five elder Singaporeans to illustrate the application of our proposed model.
Keywords: 
Conference Name: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP’17)
Location: Montreal. Canada
Publisher: IEEE
Year: 2017
Accepted PDF File: Fuzzy_Logic_Based_Assessment_on_the_Adaptive_Level_of_Rehabilitation_Exergames_for_the_Elderly_accepted.pdf
Permanent Link: https://doi.org/10.1109/GlobalSIP.2017.8308677
Reference: H. Zhang, C. Miao, and H. Yu, “Fuzzy logic based assessment on the adaptive level of rehabilitation exergames for the elderly,” in Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP’17). IEEE, November 2017, pp. 423–427.
bibtex: 
@inproceedings{LILY-c135, 
   author = {Zhang, Hao and Miao, Chunyan and Yu, Han},
   title  = {Fuzzy Logic Based Assessment on the Adaptive Level of Rehabilitation Exergames for the Elderly},  
   booktitle = {Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP'17)}, 
   year  = {2017}, 
   month = {November}, 
   pages = {423-427}, 
   location = {Montreal, Canada},
   publisher = {IEEE},
}