تعداد نشریات | 8 |
تعداد شمارهها | 300 |
تعداد مقالات | 3,764 |
تعداد مشاهده مقاله | 7,011,111 |
تعداد دریافت فایل اصل مقاله | 2,355,038 |
Postural Balance for Selection of Martial Artists Using Machine Learning Techniques | ||
Journal of Exercise and Health Science | ||
مقاله 1، دوره 2، شماره 1، فروردین 2022، صفحه 1-12 اصل مقاله (511.26 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.22089/jehs.2022.6782.1000 | ||
نویسندگان | ||
Muhammad Manshadi* 1؛ Ehsan Ranjbar2؛ Reyhaneh Ghasab Sedehi3؛ Navid Hassani4؛ Nader Jafarnia Dabanloo5 | ||
1Alborz University of Medical Sciences, Karaj, Iran | ||
2BSc Graduate in Biomedical Engineering. MSc Graduate in Electrical Engineering, Amirkabir University of Technology Tehran, Iran | ||
3Former Biomedical Engineering Expert, Department of Medical Equipment, ABZUMS, Karaj, Iran. | ||
4Medical Lab Sciences Technologist, Head of the Department of Medical Equipment, ABZUMS, Karaj, Iran. | ||
5Department of Biomedical Engineering, Islamic Azad University (IAU), Science and Research Branch, Tehran, Iran | ||
چکیده | ||
Objectives: The purpose of this study was to classify participants, according to balance test scores, and to detect martial art athletes. Design: Measures of static and dynamic balance indices were obtained from 4 tests. Setting: This research took place at a secondary school in Iran. Participants: Fifty healthy volunteers participated in this experiment. Main outcome measures: Due to differences in power and different pressures applied on joints and muscles, athletes in different sports and also non-athletes may have different grades in balance tests. There isn’t enough information on specific or non-specific balance in sports. Results: Balance test scores were used for inputs of classifiers where the applied methods included the support vector machine, k-nearest neighbors algorithm, and artificial neural network. Only by the result of 4 tests, detection accuracy of 90.5% was achieved. Conclusion: Balance indices are good features for detection of martial art athletes. This may also be useful for talent identification in martial arts. | ||
کلیدواژهها | ||
Artificial neural network؛ Balance؛ Classification؛ K-nearest neighbors؛ Support vector machine | ||
آمار تعداد مشاهده مقاله: 10,111 تعداد دریافت فایل اصل مقاله: 1,500 |