| Issue |
MATEC Web Conf.
Volume 71, 2016
The International Conference on Computing and Precision Engineering (ICCPE 2015)
|
|
|---|---|---|
| Article Number | 05004 | |
| Number of page(s) | 5 | |
| Section | Control and Automation Technology, Mechatronics, Robotics for Manufacture and Industry | |
| DOI | https://doi.org/10.1051/matecconf/20167105004 | |
| Published online | 02 August 2016 | |
Development of Intelligent Auxiliary System for Customized Physical Fitness and Healthcare
1 Department of Automation and Control Engineering, Far East University, Tainan City, 744, Taiwan, ROC
2 Department of Leisure and Sports Management, Far East University, Tainan City, 744, Taiwan, ROC
3 Department of Mechanical Engineering, Far East University, Tainan City, 744, Taiwan, ROC
a Corresponding author: cchuang@cc.feu.edu.tw
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.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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