Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives

Reis, Felipe J.J.; Alaiti, Rafael Krasic; Vallio, Caio Sain; Hespanhol, Luiz

doi:10.1016/j.bjpt.2024.101083

Brazilian Journal of Physical Therapy

2024

DOI: 10.1016/j.bjpt.2024.101083

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Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives

Felipe J.J. Reis,

Rafael Krasic Alaiti,

Caio Sain Vallio

et al.

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Cited by 4 publications

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AI‐Driven Multi‐Modal Information Fusion System for Real Applications in Physical Training

Wang,

2024

Internet Technology Letters

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This paper introduces an AI‐driven multi‐modal information fusion system tailored for real‐world physical training applications, integrating state‐of‐the‐art computer vision, deep learning, and multi‐sensor technologies. The system combines high‐precision cameras and inertial measurement unit (IMU) sensors to capture real‐time motion trajectories and posture data. These data are processed through convolutional neural networks (CNNs) and long short‐term memory (LSTM) models for accurate movement analysis. Additionally, augmented reality (AR) provides real‐time visual feedback, while deep reinforcement learning algorithms deliver personalized training recommendations. In an 8‐week study involving 100 high school students, the system improved movement accuracy by 23% and received a 4.6/5 user satisfaction rating. Although challenges remain in optimizing computational efficiency and user interface design, the system's modular and scalable nature makes it an adaptable solution for enhancing physical training across educational, home, and professional settings.

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AI‐Driven Multi‐Modal Information Fusion System for Real Applications in Physical Training

Wang,

2024

Internet Technology Letters

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The potential role of artificial intelligence to promote the participation and inclusion in physical exercise and sports for people with disabilities: A narrative review

Rosa

2025

Journal of Bodywork and Movement Therapies

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Machine learning methods in physical therapy: A scoping review of applications in clinical context

Reis,

Carvalho,

Neves

et al. 2024

Musculoskeletal Science and Practice

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Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives

Cited by 4 publications

References 57 publications

AI‐Driven Multi‐Modal Information Fusion System for Real Applications in Physical Training

AI‐Driven Multi‐Modal Information Fusion System for Real Applications in Physical Training

The potential role of artificial intelligence to promote the participation and inclusion in physical exercise and sports for people with disabilities: A narrative review

Machine learning methods in physical therapy: A scoping review of applications in clinical context

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