Empirical study of the IoT-learning for obese patients that require personal training

Seul Ah Shin, Nam Yong Lee, Jin Ho Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE2016
EditorsVincenzo Loia, James J. Jong Hyuk Park, Gangman Yi, Yi Pan
PublisherSpringer Verlag
Pages1005-1012
Number of pages8
ISBN (Print)9789811030222
DOIs
StatePublished - 2017
Event11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 - Bangkok, Thailand
Duration: 19 Dec 201621 Dec 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume421
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016
Country/TerritoryThailand
CityBangkok
Period19/12/1621/12/16

Keywords

  • IoT-Learning
  • U-health
  • U-learning

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