Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review
Background: Artificial neural network helps humans in a wide range of activities, such as sports.Objective: This paper aims to investigate the effect of artificial intelligence on decision-making related to human gait and sports biomechanics, using computer-based software, and to investigate the imp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2023-10-01
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| Series: | Journal of Biomedical Physics and Engineering |
| Subjects: | |
| Online Access: | https://jbpe.sums.ac.ir/article_49536_50dcf665a66d02c158a4f318ff0d618d.pdf |
| _version_ | 1797659622376472576 |
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| author | Rozhin Molavian Ali Fatahi Hamed Abbasi Davood Khezri |
| author_facet | Rozhin Molavian Ali Fatahi Hamed Abbasi Davood Khezri |
| author_sort | Rozhin Molavian |
| collection | DOAJ |
| description | Background: Artificial neural network helps humans in a wide range of activities, such as sports.Objective: This paper aims to investigate the effect of artificial intelligence on decision-making related to human gait and sports biomechanics, using computer-based software, and to investigate the impact of artificial intelligence on individuals’ biomechanics during gait and sports performance.Material and Methods: This review was conducted in compliance with the PRISMA guidelines. Abstracts and citations were identified through a search based on Science Direct, Google Scholar, PubMed, Elsevier, Springer Link, Web of Science, and Scopus search engines from 1995 up to 2023 to obtain relevant literature about the impact of artificial intelligence on biomechanics. A total of 1000 articles were found related to biomechanical characteristics of gait and sport and 26 articles were directly pertinent to the subject.Results: The extent of the application of artificial intelligence in sports biomechanics in various fields. In addition, various variables in the fields of kinematics, kinetics, and the field of time can be investigated based on artificial intelligence. Conventional computational techniques are limited by the inability to process data in its raw form. Artificial Intelligence (AI) and Machine Learning (ML) techniques can handle complex and high-dimensional data. Conclusion: The utilization of specialized systems and neural networks in gait analysis has shown great potential in sports performance analysis. Integrating AI into this field would be a significant advancement in sport biomechanics. Coaches and athletes can develop more precise training regimens with specialized performance prediction models. |
| first_indexed | 2024-03-11T18:16:49Z |
| format | Article |
| id | doaj.art-0abf54c0559d482da813baa16a3217cb |
| institution | Directory Open Access Journal |
| issn | 2251-7200 |
| language | English |
| last_indexed | 2024-03-11T18:16:49Z |
| publishDate | 2023-10-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Biomedical Physics and Engineering |
| spelling | doaj.art-0abf54c0559d482da813baa16a3217cb2023-10-16T05:37:23ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002023-10-0113538340210.31661/jbpe.v0i0.2305-162149536Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature ReviewRozhin Molavian0Ali Fatahi1Hamed Abbasi2Davood Khezri3Department of Sport Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, IranDepartment of Sport Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, IranDepartment of Sport Injuries and Corrective Exercises, Sport Sciences Research Institute, Tehran, IranDepartment of Sport Biomechanics and Technology, Sport Science Research Institute, Tehran, IranBackground: Artificial neural network helps humans in a wide range of activities, such as sports.Objective: This paper aims to investigate the effect of artificial intelligence on decision-making related to human gait and sports biomechanics, using computer-based software, and to investigate the impact of artificial intelligence on individuals’ biomechanics during gait and sports performance.Material and Methods: This review was conducted in compliance with the PRISMA guidelines. Abstracts and citations were identified through a search based on Science Direct, Google Scholar, PubMed, Elsevier, Springer Link, Web of Science, and Scopus search engines from 1995 up to 2023 to obtain relevant literature about the impact of artificial intelligence on biomechanics. A total of 1000 articles were found related to biomechanical characteristics of gait and sport and 26 articles were directly pertinent to the subject.Results: The extent of the application of artificial intelligence in sports biomechanics in various fields. In addition, various variables in the fields of kinematics, kinetics, and the field of time can be investigated based on artificial intelligence. Conventional computational techniques are limited by the inability to process data in its raw form. Artificial Intelligence (AI) and Machine Learning (ML) techniques can handle complex and high-dimensional data. Conclusion: The utilization of specialized systems and neural networks in gait analysis has shown great potential in sports performance analysis. Integrating AI into this field would be a significant advancement in sport biomechanics. Coaches and athletes can develop more precise training regimens with specialized performance prediction models.https://jbpe.sums.ac.ir/article_49536_50dcf665a66d02c158a4f318ff0d618d.pdfartificial intelligencebiomechanicsmachine learningperformancesports |
| spellingShingle | Rozhin Molavian Ali Fatahi Hamed Abbasi Davood Khezri Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review Journal of Biomedical Physics and Engineering artificial intelligence biomechanics machine learning performance sports |
| title | Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review |
| title_full | Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review |
| title_fullStr | Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review |
| title_full_unstemmed | Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review |
| title_short | Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review |
| title_sort | artificial intelligence approach in biomechanics of gait and sport a systematic literature review |
| topic | artificial intelligence biomechanics machine learning performance sports |
| url | https://jbpe.sums.ac.ir/article_49536_50dcf665a66d02c158a4f318ff0d618d.pdf |
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