Earticle

초록

영어

We purposed to propose a method to analyze the movement during whole-body exercise using a 2D camera. Specifically, we filmed the participants performing a specific whole body movement in front of the 2D camera in a normal state and a Pseudo-Elderly state that imitated the posture of older adults. We used the posture analysis algorithm YOLO to obtain two-dimensional spatial coordinate information for 16 parts of the body and perform a movement analysis for the two states. Consequently, we were unable to identify any significant differences between young people and the Pseudo-Elderly in terms of the total amount of differences in the coordinates of the 𝑥-axis (lateral movement) and 𝑦-axis (front-back movement) for the 16 parts of the body. However, we could identify significant differences between young people and the Pseudo-Elderly by analyzing each part of the body, such as the head and ankle. Since we suppose that the method proposed in this study can analyze the movement state of whole body movements using a 2D camera that is usually used in daily life, we hope to apply it to a system for monitoring and improving the movement of older adults at home and a system for early detection of diseases with movement disorders in the future.

목차

Abstract
1. Introduction
2. Methods
2.1. Participants
2.2. Experimental method
2.3. Movement task
2.4. Analytical method
3. Result
3.1. Comparison of Younger and Pseudo-Elderly in the backward-forward movement task
3.2. Comparison of Younger and Pseudo-Elderly in the left-right movement task
4. Discussion
5. Conclusion
References

키워드

저자

• Schon Ito [ Student, Division of Health Sciences, Graduate School, Komatsu University, Japan ]
• Jongho Lee [ Professor, Department of Clinical Engineering, Komatsu University, Japan ]
• Junko Izawa [ Department of Clinical Engineering, Komatsu University, Japan ] 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