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Issue title: Recent Innovations on Biomedical Engineering
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Huang, Chung-Chia; * | Liu, Hsiao-Manb | Huang, Chung-Linc
Affiliations: [a] Department of Automation and Control Engineering, Far East University, Tainan City, Taiwan | [b] Department of Recreational Sports Management, Far East University, Tainan City, Taiwan | [c] Department of Tourism Management, Taiwan Shoufu University, Tainan City, Taiwan
Correspondence: [*] Corresponding author: Chung-Chi Huang, Department of Automation and Control Engineering, Far East University, Tainan City 744, Taiwan. E-mail:[email protected]
Abstract: Physical fitness and health of white collar business person is getting worse and worse in recent years. Therefore, it is necessary to develop a system which can enhance physical fitness and health for people. Although the exercise prescription can be generated after diagnosing for customized physical fitness and healthcare. It is hard to meet individual execution needs for general scheduling of physical fitness and healthcare system. So the main purpose of this research is to develop an intelligent scheduling of execution for customized physical fitness and healthcare system. The results of diagnosis and prescription for customized physical fitness and healthcare system will be generated by fuzzy logic Inference. Then the results of diagnosis and prescription for customized physical fitness and healthcare system will be scheduled and executed by intelligent computing. The scheduling of execution is generated by using genetic algorithm method. It will improve traditional scheduling of exercise prescription for physical fitness and healthcare. Finally, we will demonstrate the advantages of the intelligent scheduling of execution for customized physical fitness and healthcare system.
Keywords: Prescription, scheduling of execution, intelligent system, customized system, physical fitness, healthcare
DOI: 10.3233/THC-151096
Journal: Technology and Health Care, vol. 24, no. s1, pp. S385-S392, 2016
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