Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139119
Title: Fuzzy logic based assessment on the adaptive level of rehabilitation exergames for the elderly
Authors: Zhang, Hao
Miao, Chunyan
Yu, Han
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Zhang, H., Miao, C., & Yu, H. (2017). Fuzzy logic based assessment on the adaptive level of rehabilitation exergames for the elderly. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 423-427. doi:10.1109/globalsip.2017.8308677
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.
URI: https://hdl.handle.net/10356/139119
ISBN: 978-1-5090-5990-4
DOI: 10.1109/GlobalSIP.2017.8308677
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/978-1-5090-5990-4
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IGS Conference Papers

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