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http://dx.doi.org/10.6109/jkiice.2014.18.6.1475

Personal Training Suggestion System based on Hybrid App  

Kye, Min-Seok (Department of Computer Engineering, Paichai University)
Jang, Hyeon-Suk (Department of Elderly Welfare, Hanseo University)
Jung, Hoe-Kyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.6, 2014 , pp. 1475-1480 More about this Journal
Abstract
Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.
Keywords
Wellness; hybrid app; personal training market;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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