Development of Intelligent Auxiliary System for Customized Physical Fitness and Healthcare

Autor: Huang Chung-Chi; Liu Hsiao-Man; Ke Yen-Ting
Sprache: Englisch; Französisch
Veröffentlicht: 2016
Quelle: Directory of Open Access Journals: DOAJ Articles
Online Zugang: http://dx.doi.org/10.1051/matecconf/20167105004
https://doaj.org/toc/2261-236X
2261-236X
doi:10.1051/matecconf/20167105004
https://doaj.org/article/c627b51fda79476b938b259f6311f796
https://doi.org/10.1051/matecconf/20167105004
https://doaj.org/article/c627b51fda79476b938b259f6311f796
Erfassungsnummer: ftdoajarticles:oai:doaj.org/article:c627b51fda79476b938b259f6311f796

Zusammenfassung

With the advent of global high-tech industry and commerce era, the sedentary reduces opportunities of physical activity. And physical fitness and health of people is getting worse and worse. At present, the shortage of physical fitness instructors greatly affected the effectiveness of health promotion. Therefore, it is necessary to develop an auxiliary system which can reduce the workload of instructors and enhance physical fitness and health for people. But current general physical fitness and healthcare system is hard to meet individualized needs. The main purpose of this research is to develop an intelligent auxiliary system for customized physical fitness and healthcare. It records all processes of physical fitness and healthcare system by wireless sensors network. The results of intelligent auxiliary systems for customized physical fitness and healthcare will be generated by fuzzy logic Inference. It will improve individualized physical fitness and healthcare. Finally, we will demonstrate the advantages of the intelligent auxiliary system for customized physical fitness and healthcare.