Body Information Analysis based Personal Exercise Management System

Abstract

Recently, people's interest in health is deepening. So health-related systems are being developed. Existing exercise management systems provided users with exercise related information using PC or smart phone. However, there is a problem that the accuracy of the algorithm for analyzing the user's body information and providing information is low.In this paper, we analyze users' body mass index (BMI) and basal metabolic rate (BMR) and we propose a system that provides the user with necessary information through recommendation algorithm. It informs the user of exercise intensity and momentum, and graphs the exercise history of the user. It also allows the user to refer to the fitness history of other users in the same BMI group. This allows the user to receive more personalized services than the existing exercise management system, thereby enabling efficient exercise. Keyword:BMI BMR Recommendation U-healthcare User analysis Copyright © 2018 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Hoekyung Jung, Departement of Computer Engineering, Paichai University, 155-40 University Road, Seogu, DaeJeon, Korea. Email: hkjung@pcu.ac.kr INTRODUCTIONAs the number of consumers for a healthy life increases, a system for periodically checking physical condition and health using a smart phone or a wearable device is being developed. By using this, the past and present state of the user can be known and the service [1-3]. However, since existing systems record the user's movements and provide information accordingly, there is a problem that they cannot help users who have not understanding of motion [4][5][6][7][8]. In order to solve this problem, it is required to develop a system for analyzing the user's body information and providing a service accordingly.In this paper, we analyze user BMI index and BMR value and provide service. The service provided by the proposed system analyzes the BMI index then recommends exercise intensity. Next analyze BMR values and recommend momentum. It also provides a graphical representation of the records of used exercise equipment.System recommend to user exercise intensity and momentum can select the exercise device and can view the calories consumed in real time and select whether to transmit the exercise amount to the server. Also, records of other users belonging to the same BMI group as the user can be referred to This allows the user to compare other user's select the exercise equipment. Using the proposed system, the user can get more information and exercise more efficiently than existing exercise management system. And user can efficient planning.

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