Artificial Intelligence Approach in Biomechanics of Gait and Sport: A Systematic Literature Review
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 59
This Paper With 20 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JBPE-13-5_001
تاریخ نمایه سازی: 30 دی 1402
Abstract:
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 ۱۹۹۵ up to ۲۰۲۳ to obtain relevant literature about the impact of artificial intelligence on biomechanics. A total of ۱۰۰۰ articles were found related to biomechanical characteristics of gait and sport and ۲۶ 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.
Keywords:
Authors
Rozhin Molavian
Department of Sport Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Ali Fatahi
Department of Sport Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Hamed Abbasi
Department of Sport Injuries and Corrective Exercises, Sport Sciences Research Institute, Tehran, Iran
Davood Khezri
Department of Sport Biomechanics and Technology, Sport Science Research Institute, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :