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http://dx.doi.org/10.15207/JKCS.2019.10.6.235

Presenting Direction for the Implementation of Personal Movement Trainer through Artificial Intelligence based Behavior Recognition  

Ha, Tae Yong (Dept. of Smart Convergence Consulting, Hansung University)
Lee, Hoojin (Dept. of Smart Convergence Consulting, Hansung University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.6, 2019 , pp. 235-242 More about this Journal
Abstract
Recently, the use of artificial intelligence technology including deep learning has become active in various fields. In particular, several algorithms showing superior performance in object recognition and detection based on deep learning technology have been presented. In this paper, we propose the proper direction for the implementation of mobile healthcare application that user's convenience is effectively reflected. By effectively analyzing the current state of use satisfaction research for the existing fitness applications and the current status of mobile healthcare applications, we attempt to secure survival and superiority in the fitness application market, and, at the same time, to maintain and expand the existing user base.
Keywords
Healthcare; Fitness; Artificial Intelligence; Deep Running; CNN; RNN;
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Times Cited By KSCI : 1  (Citation Analysis)
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