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.
Collaboration network of the authors
16 authors ·
27 co-authorship links
· 5 across different organisations
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Pai Chai University
Korea University
Korea Institute of Science & Technology Information
Kyungbok University
Korea Water Resources Corporation (South Korea)
Affiliation unknown
Different organisations
Same organisation
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