2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
Hyejeong Nam , Dept. of Smart ICT Convergence, Konkuk University, Seoul, Korea
Jin-Hyun Kim , Dept. of Smart ICT Convergence, Konkuk University, Seoul, Korea
Jee-In Kim , Dept. of Smart ICT Convergence, Konkuk University, Seoul, Korea
It is well-known that an improper lifestyle such as overeating, lack of exercises and imbalance of body postures is regarded as the main cause of abdominal obesity which could cause various complications such as high blood pressure, diabetes, heart failure, and so on. There have been tremendous efforts to improve such a lifestyle and reduce abdominal obesity. One of the results suggests that a correct posture could lead the reduction of the abdominal obesity. However, it is difficult for users to measure, record and correct their postures by themselves. Therefore, it is required to have a tool to enhance the situation. It is assumed that wearable devices can be used for supporting the efforts of reducing the abdominal obesity. In this paper, it is proposed to develop a wearable device, called Smart Belt, for life-logging, monitoring and analyzing living body data with personal big data processing.
Obesity, Belts, Acceleration, Biomedical monitoring, Force sensors, Stomach, Current measurement
Hyejeong Nam, Jin-Hyun Kim and Jee-In Kim, "Smart Belt : A wearable device for managing abdominal obesity," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 430-434.