TY - GEN
T1 - Optical Flow Method-based Real Time Counting Method of Pull-up
AU - Tang, Daijia
AU - Mao, Guanjun
AU - Li, Changlin
AU - Yao, Chao
AU - Guo, Zehua
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Pull-up is an important physical fitness measurement in various scenarios, such as high school entrance examination, firefighter's fitness test. Counting the number of pull-ups manually are labor exhausted and unreliable, many equipments are designed to solve this problem in an automatic manner. However, the existing solutions have three drawbacks: (1) The equipment is complex in some solutions, making them hard to deploy; (2) Some solution employ depth camera, which is expensive and cannot adapt to the variance of illumination; (3) the existing methods always need manual assistance. To address the aforementioned drawbacks, a real time pull up counting solution based on optical flow is proposed in this paper. We propose a pull-up counting solution named optical flow method-based real time counting method of pull-up. The pull-up counting can get test scores by analyzing real time video frames using optimal flow method and uses frame difference method to judge the criterion of action. To improve the time efficiency, restricted area, down-sampling, and taking frame interval operations are adopted. The test results show that the pull-up count method has a good performance, and the average test accuracy is 95.33%. The method can be applied to different test environments, having strong applicability.
AB - Pull-up is an important physical fitness measurement in various scenarios, such as high school entrance examination, firefighter's fitness test. Counting the number of pull-ups manually are labor exhausted and unreliable, many equipments are designed to solve this problem in an automatic manner. However, the existing solutions have three drawbacks: (1) The equipment is complex in some solutions, making them hard to deploy; (2) Some solution employ depth camera, which is expensive and cannot adapt to the variance of illumination; (3) the existing methods always need manual assistance. To address the aforementioned drawbacks, a real time pull up counting solution based on optical flow is proposed in this paper. We propose a pull-up counting solution named optical flow method-based real time counting method of pull-up. The pull-up counting can get test scores by analyzing real time video frames using optimal flow method and uses frame difference method to judge the criterion of action. To improve the time efficiency, restricted area, down-sampling, and taking frame interval operations are adopted. The test results show that the pull-up count method has a good performance, and the average test accuracy is 95.33%. The method can be applied to different test environments, having strong applicability.
KW - Pull-up test
KW - counting
KW - optical flow method
KW - real time
UR - http://www.scopus.com/inward/record.url?scp=85158904689&partnerID=8YFLogxK
U2 - 10.1109/VRHCIAI57205.2022.00031
DO - 10.1109/VRHCIAI57205.2022.00031
M3 - Conference contribution
AN - SCOPUS:85158904689
T3 - Proceedings - 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence, VRHCIAI 2022
SP - 139
EP - 143
BT - Proceedings - 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence, VRHCIAI 2022
A2 - Ma, Nan
A2 - Liao, Miao
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence, VRHCIAI 2022
Y2 - 28 October 2022 through 30 October 2022
ER -