Development of a new image processing program for the evaluation of motion analysis system videos
Görkem Kıyak1
, Babürşah Baz2, Emine Topal2, Cem Sarıcaoğlu2, Ahmet Said Uyan1, Esma Arslan3, Sabriye Ercan1, Turgay Aydoğan4, Ecir Uğur Küçüksille4, Ferdi Başkurt5, Cem Çetin1
1Sports Medicine Department, Faculty of Medicine, Süleyman Demirel University, Isparta, Türkiye
2Faculty of Medicine, Süleyman Demirel University, Isparta, Türkiye
3Sports Medicine Department, Van Research and Training Hospital, Health Science University, Van, Türkiye
4Computer Engineering Department, Faculty of Engineering, Süleyman Demirel University, Isparta, Türkiye
5Physiotherapy and Rehabilitation Department, Faculty of Health Science, Süleyman Demirel University, Isparta, Türkiye
Keywords: Motion analysis, image processing, program, LESS
Abstract
Objective: The aim of this study is to develop an application for image processing of motion analysis system videos.
Methods: After recording the descriptive information of the volunteer participants, the International Physical Activity Questionnaire Short Form (IPAQ) was completed in a face-to-face environment. Upon completing the questionnaire, the participants were videotaped in accordance with the Landing Error Scoring System (LESS) protocol. LESS scoring was performed by five researchers using Kinovea v.0.9.5, which has been used in image processing of similar dynamic motion analysis systems in our clinic in the past, and a newly developed program called HAS. The program was developed using .Net Maui .Net 8 on Visual Studio. SPSS v.23 and GraphPad Prism 8 programs were used for data analysis.
Results: Forty healthy young people, of which 47.5% (n=19) male and 52.5% (n=21) female, participated in the study. All of the participants had right dominancy. Those who reported regular exercise habits were 40% (n=16). The age of the participants was 21.7±2.4 years and body mass index was 23.0±3.9 kg/m2. The IPAQ-total value was determined as 2006±1801 METs. Considering all of the evaluators, the inter-rater intraclass correlation coefficients were calculated as 0.970 (0.952-0.982) in test-Kinovea, 0.973 (0.957-0.984) in retest-Kinovea, 0.981 (0.969-0.989) in test-New and 0.977 (0.963-0.987) in retest-New, respectively. As visualized in the measurements of the sports medicine specialist, no significant differences were detected in the intra-rater dependent and independent group test results of all evaluators (p˃0.05).
Conclusion: Video image processing processes of motion analysis systems, especially LESS, can be realized by using the HAS program.
Cite this article as: Kiyak G, Baz B, Topal E, Saricaoglu C, Uyan AS, Arslan E, etal. Development of a new image processing program for the evaluation of motion analysis system videos. Turk J Sports Med. 2025;60(2):44-9; https://doi.org/10.47447/tjsm.0877
The approval for this study was obtained from Faculty of Medicine, Süleyman Demirel University Clinical Research Ethics Committee, Isparta, Türkiye (Decision no:40377971-050.03.04, Date: 18/11/2022).
Concept - GK, SE, TA, EUK, FB, CÇ; Design - GK, BB, ET, CS, ASU, EA, SE; Supervision - GK, ASU, EA, SE, TA, EUK, FB, CÇ; Materials - GK, BB, ET, CS; Data Collection and/or Processing - GK, BB, ET, CS, ASU; Analysis and Interpretation - GK, BB, ET, CS, ASU; Literature Review - GK, BB, ET, CS, EA; Writing manuscript - GK, BB, ET, CS, EA, SE; Critical reviews - GK, SE, TA, EUK, FB, CÇ. All authors contributed to the final version of the manuscript and discussed the results and contributed to the final manuscript.
The authors declared no conflicts of interest with respect to authorship and/or publication of the article.
The authors received no financial support for the research and/or publication of this article.
