International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study on the Development of a Program to Body Circulation Measurement Using the Machine Learning and Depth Camera

  • Choi, Dong-Gyu (Department of Software Convergence, Dong-Eui University) ;
  • Jang, Jong-Wook (Department of Computer Engineering, Dong-Eui University)
  • Received : 2020.01.10
  • Accepted : 2020.01.21
  • Published : 2020.02.29
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Abstract

The circumference of the body is not only an indicator in order to buy clothes in our life but an important factor which can increase the effectiveness healing properly after figuring out the shape of body in a hospital. There are several measurement tools and methods so as to know this, however, it spends a lot of time because of the method measured by hand for accurate identification, compared to the modern advanced societies. Also, the current equipments for automatic body scanning are not easy to use due to their big volume or high price generally. In this papers, OpenPose model which is a deep learning-based Skeleton Tracking is used in order to solve the problems previous methods have and for ease of application. It was researched to find joints and an approximation by applying the data of the deep camera via reference data of the measurement parts provided by the hospitals and to develop a program which is able to measure the circumference of the body lighter and easier by utilizing the elliptical circumference formula.

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References

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