title: Intelligent diagnosis and prescription for a customized physical fitness and healthcare system.
abstract: With the advent of the era of global high-tech industry and commerce and its associated sedentary lifestyle, opportunities for physical activity are reduced. People's physical fitness and health is deteriorating. Therefore, it is necessary to develop a system that can enhance people's physical fitness and health. However, it is difficult for general physical fitness and healthcare systems to meet individualized needs. The main purpose of this research is to develop a method of intelligent diagnosis and prescription for a customized physical fitness and healthcare system. The proposed system records all processes of the physical fitness and healthcare system via a wireless sensor network and the results of the diagnosis and prescription will be generated by fuzzy logic inference. It will improve individualized physical fitness and healthcare. Finally, we demonstrate the advantages of intelligent diagnosis and prescription for a customized physical fitness and healthcare system.
authors.affiliation: Department of Automation and Control Engineering, Far East University, Taiwan.
authors.forename: Chung-Chi
authors.initials: CC
authors.lastname: Huang
authors.affiliation: Department of Recreational Sports Management, Far East University, Taiwan.
authors.forename: Hsiao-Man
authors.initials: HM
authors.lastname: Liu
authors.affiliation: Department of Tourism Management, Taiwan Shoufu University, Taiwan.
authors.forename: Chung-Lin
authors.initials: CL
authors.lastname: Huang
mesh_terms: D015992:Body Mass Index; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005081:Exercise Therapy / Q000379:methods*; D005246:Feedback; D017143:Fuzzy Logic; D006801:Humans; D008875:Middle Aged; D010807:Physical Endurance; D010809:Physical Fitness; D004856:Postural Balance; D058998:Remote Sensing Technology / Q000295:instrumentation* / Q000379:methods*; D057185:Sedentary Behavior
keywords: Diagnosis; customized system; healthcare; intelligent system; physical fitness; prescription