A Computer Vision Application for Appropriateness Verification of Squat Exercise Posture


  • Nontarat Bumrungkiat คณะเทคโนโลยีอุตสาหกรรม มหาวิทยาลัยราชภัฏเทพสตรี
  • Pheeraya Taothong


exercise, squat, video camera, digital image processing, exercise, squat, video camera, digital image processing, exercise, squat, video camera, digital image processing


The program is studied about digital image and video processing to design and create a program to help for exercises through video cameras. The role of a video camera is gesture checking, correct squat exercising with human eyes. The purpose is to be comfortable in practicing posture for correct exercise method for decreasing injuries and allowing users to have more fun with exercise. The results of designing and creating this program by 5 testers and 20 squat postures/tester and keep the correct counting are 93% accuracy. The cause of the error was a sudden change in lighting conditions in the test area or an unnatural squat rhythm, such as faster or slower than the normal frame rate. The assessment of satisfaction from sport experts, athlete and normal users of a total of 5 peoples found that the evaluation of the use of the program. The overall satisfaction is good. It has an average rating of 4.06.


Charoenngan, T. (2011). Factors affecting health officers’ satisfaction toward the use of java health center information system (JHCIS) of health promotiong tambon hospital and primary care unit: a case study of Phangaga. Master’s Thesis, Information Systems Major, Faculty of Business Administration, Rajamangala University of Technology Thanyaburi. (in Thai).

Gong Cheng Junwei Han. (2016). A survey on object detection in optical remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 117. July 2016. pp. 11-28.

Kai Kang, et al. (2016). Object detection from video tubelets with convolutional neural networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 817-825.

Paulo Rodrigo Cavalin. (2018). Confusion matrix-based building of hierarchical classification, The 23rd Iberoamerican Congress (CIAR2018). Spain. 19-22 November 2018. pp. 271-278.

Siriraj Hospital. (2019). How to squash properly. [online], Avaliable: http://www.siphhospital.com/th/news/article/share/866/Squat. Access on October 1, 2019. (in Thai).

Srisa-ard, B. (2002). Statistical methods for research. 3rd ed., Bangkok: Suwiriyasan. (in Thai).

Thairath Online. (2019). How to do the best squash exercises in the right way. [online], Avaliable: https://www.thairath.co.th/lifestyle/woman/502379. Access on October 1, 2019. (in Thai).