Earticle

초록

영어

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.

목차

Abstract
1. Introduction
2. Related research
2.1 OpenPose
2.2 Realsense Depth Camera
2.3 K-means Algorithm
3. System Design
3.1 Suggested Program Progress Order Overview
3.2 Body type calculation method
4. Implementation
5. Conclusion
Acknowledgment
References

키워드

저자

• Dong-Gyu Choi [ Graduate student, Department of Software Convergence, Dong-Eui University, Korea ]
• Jong-Wook Jang [ Professor, Department of Computer Engineering, Dong-Eui University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380