Fuzzy logic based assessment on the adaptive level of rehabilitation exergames for the elderly

• Main Authors: Zhang, Hao, Miao, Chunyan, Yu, Han
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Senior Citizens; Fuzzy Logic
• Online Access: https://hdl.handle.net/10356/139119
• Institution: Nanyang Technological University

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.