Exploring computer vision and artificial intelligence-based distance measurement tools for the standing long jump

• Published in: 한국체육측정평가학회지 Vol. 24; no. 1; pp. 39 - 58
• Main Authors: Cheng Jiang(강성), Jia-Qi Sun(손가기), Ke-Xin Qi(기가심), Xue Jiang(강설), Xiangchuan Jin(김향천), Xuanshang Jin(김현상)
• Format: Journal Article
• Language: English
• Published: 한국체육측정평가학회 01.03.2022
• Subjects: 체육; Standing long jump; Opencv; 자동범위조정; Automatic ranging; 오픈cv; 오픈포즈; 제자리 멀리뛰기; OpenPose
• ISSN: 1229-4225; 2671-9134
• DOI: 10.21797/ksme.2022.24.1.004

The key technology of standing long jump ranging in this study are mainly manifested in two stages: the first stage is the environment initialization stage, which mainly includes the quantitative identification of standing long jump field, camera and human body key points; the second stage is the ranging stage, which consists of extracting the set of jump frame and landing frame and identifying the key points of toe and heel. After the evaluation of test accuracy, the measurement is conducted 20 times, the error is 0.58cm, and the standard deviation is 0.24. It is proved that this study can control the error of standing long jump test results within 1cm, which shows that the research results have high test accuracy. Because this study uses an ordinary webcam, compared with other standing long jump test methods, it has the advantages of higher intelligence, low price and low maintenance cost. The research results are easy to be widely popularized. KCI Citation Count: 0