Development of a new image processing program for the evaluation of motion analysis system videos

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/m 2 . 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.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Sports Medicine
Published
2025-05-30
DOI
https://doi.org/10.47447/tjsm.0877
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a new image processing program for the evaluation of motion analysis system videos

Turgay Aydoğan, Sabriye Ercan, Ferdi Başkurt, Ecir Uğur Küçüksille et al.
Turkish Journal of Sports Medicine
Winter Sports Injuries and Performance
article

Development of a new image processing program for the evaluation of motion analysis system videos

Turgay Aydoğan, Sabriye Ercan, Ferdi Başkurt, Ecir Uğur Küçüksille, Görkem Kıyak, Cem Çetin, Ahmet Said Uyan, Esma Arslan, Babürşah Baz, Emine Topal, Cem Sarıcaoğlu
article en

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/m 2 . 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.

Turkish Journal of Sports MedicineVol. 60(2)
Süleyman Demirel Üniversitesi (TR), Suleyman Demirel University (KZ), Education Training And Research (US), Sağlık Bilimleri Üniversitesi (TR), University of Health Sciences Antigua (AG)
Openalex Percentile: Top 79%
Winter Sports Injuries and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.