Empirical study of the IoT-learning for obese patients that require personal training
- Authors
- Shin, S.-A.; Lee, N.-Y.; Park, J.-H.
- Issue Date
- Dec-2017
- Publisher
- Springer Verlag
- Keywords
- IoT-Learning; U-health; U-learning
- Citation
- Lecture Notes in Electrical Engineering, v.421, pp.1005 - 1012
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 421
- Start Page
- 1005
- End Page
- 1012
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/7272
- DOI
- 10.1007/978-981-10-3023-9_156
- ISSN
- 1876-1100
- Abstract
- Modern people are spending a lot of time and money for weight management, among them an increasing number of people to the personal training for the balance of his body. However, the public does not have the expertise are not easy to analyze the state of his body to find exercises in your body. So look for a lot of people to a personal training fitness center. However, personal training is difficult to continue to exercise because lifting is expensive. Therefore, we define a new concept of IoT-learning by integrating the IoT technologies and U-learning in this paper. We also propose a personalized personal training using IoT-learning. And it was mainly practices that can be applied. © Springer Nature Singapore Pte Ltd. 2017.
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