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Hajihosseini, Samaneh, Sheikh, Mahmoud, GHaiur Najafabadi, Mahboubeh, Houminiyan Sharif Abadi, Davoud, Veisi, Hadi, Bagherzadeh, Fazlollah. (1401). Automated Assessment of Developmental Stage of Overhand Throwing Skill. سامانه مدیریت نشریات علمی, 6(2), 99-111. doi: 10.22098/jast.2022.2119
Samaneh Hajihosseini; Mahmoud Sheikh; Mahboubeh GHaiur Najafabadi; Davoud Houminiyan Sharif Abadi; Hadi Veisi; Fazlollah Bagherzadeh. "Automated Assessment of Developmental Stage of Overhand Throwing Skill". سامانه مدیریت نشریات علمی, 6, 2, 1401, 99-111. doi: 10.22098/jast.2022.2119
Hajihosseini, Samaneh, Sheikh, Mahmoud, GHaiur Najafabadi, Mahboubeh, Houminiyan Sharif Abadi, Davoud, Veisi, Hadi, Bagherzadeh, Fazlollah. (1401). 'Automated Assessment of Developmental Stage of Overhand Throwing Skill', سامانه مدیریت نشریات علمی, 6(2), pp. 99-111. doi: 10.22098/jast.2022.2119
Hajihosseini, Samaneh, Sheikh, Mahmoud, GHaiur Najafabadi, Mahboubeh, Houminiyan Sharif Abadi, Davoud, Veisi, Hadi, Bagherzadeh, Fazlollah. Automated Assessment of Developmental Stage of Overhand Throwing Skill. سامانه مدیریت نشریات علمی, 1401; 6(2): 99-111. doi: 10.22098/jast.2022.2119

Automated Assessment of Developmental Stage of Overhand Throwing Skill

Journal of Advanced Sport Technology
دوره 6، شماره 2 - شماره پیاپی 11، بهمن 2022، صفحه 99-111    اصل مقاله (791.6 K)
نوع مقاله: Original research papers
شناسه دیجیتال (DOI): 10.22098/jast.2022.2119
نویسندگان
Samaneh Hajihosseini1؛ Mahmoud Sheikh* 2؛ Mahboubeh GHaiur Najafabadi3؛ Davoud Houminiyan Sharif Abadi3؛ Hadi Veisi4؛ Fazlollah Bagherzadeh3
1Department of Motor Behavior, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran
2Department of motor behavior, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran
3Department of motor behavior, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran.
4Department of Interdisciplinary Technology /Network Science and Technology, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
چکیده
The trade-off between speed and accuracy in scoring process-oriented tests for fundamental movement skills (FMS) has always been challenging for a screening project. The aim of this study was the feasibility of using wearable inertial measurement units (IMU) and artificial intelligence algorithms to automatically assessment of FMS. 123 overhand throwings were performed by children aged 4 to 10 years (age = 7±1.84) (53% = boys). Three IMU (Shokofa Tavan Vira) sent signals of angular velocity, linear acceleration of the preferred hand, non-predominant ankle, and lumbar region of the children. Each performance was scored according to the criteria of the third edition test of The Gross Motor Development (TGMD-3) by reviewing the video of the performed skills. The "k nearest neighbor" algorithm was used for automatic data classification. The minimum difference between test signals and training signals was calculated and classified. Two issues were assessed: false acceptance, in which an “incorrect” performance was classified as “correct”; and false rejection where a “correct” performance was classified as “incorrect”. The classification accuracy of the K-nearest neighbor (KNN) algorithm was 85%. The automatic scoring algorithm also correctly classified 93%, 78%, 93%, and 76% in criteria 1 to 4, respectively. Low-back IMU data analysis shows the model's accuracy of 75%. Further, the total scoring time was reduced from 5 minutes to less than 30 seconds. The use of artificial intelligence in the signal processing of only three IMU was a reliable and practical method for the assessment of FMS. This approach means the monitoring and evaluation of children's movement skills can be objective. In addition, while maintaining relative accuracy, the time involved in the process-oriented analysis of FMS for research, clinical, sports, and educational purposes was reduced entirely.
کلیدواژه‌ها
Test of Gross Motor Development؛ Wearable Inertial Measurement Unit؛ Artificial Intelligence؛ Motor Development؛ Automatic Assessment
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