Work

User Analysis Mechanisms based Mobile Fitness System

Year: 2016

Type: article

Abstract: Modern men have health problems caused by lack of exercise than in the past. But most modern people do not know what to do exercise. Mobile systems for fitness to solve this problem have been developed. In this paper, by analyzing the user's BMI (Body Mass Index) Index and BMR (Basal Metabolic Rate) value, the data is made available. The processed data is provided to the user which proposes the right exercise and the appropriate level of exercise intensity, for exercise machines. This is different from detecting the movement, like the existing system, and a fitness value showing the calorie consumption caused. Thus the user is considered to be able to efficiently proceed to a movement based on the provided data.

Source: International Journal of Electrical and Computer Engineering (IJECE)

DOI: 10.11591/ijece.v6i6.13267

Authors: Jong Won Lee, Han Kil Kim, Hoe Kyung Jung

Institution: Pai Chai University

Language: English

Topic: Mobile Health and mHealth Applications

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: National Research Foundation, Pai Chai University, National Research Foundation of Korea