Deadline for manuscript submissions: 31 August 2025

 

Special Issue Editors

 

Dr. Zixiang Gao Website  E-Mail: gaozixiang0111@outlook.com
Guest Editor
University of Calgary, Canada
Interests: Sports biomechanics, machine learning, musculoskeletal model, nonlinear algorithm, performance enhancement, injury prevention, gait analysis, and posture control

Prof. Yiwu Yang Website  E-Mail: yangyiwu@sina.com
Guest Editor
Wuhan University of Technology, China
Interests: Sports digitization and smart sports construction, Theory and practice of physical education training

 

Special Issue Information

 

The rapid advancement of artificial intelligence (AI) has transformed the field of sports science, offering data-driven solutions to analyze and enhance human movement. From motion signal processing to athlete monitoring, AI-driven methodologies are reshaping sports biomechanics, injury prevention, and performance optimization. The integration of machine learning, wearable technology, and explainable AI provides deeper insights into movement patterns, biomechanics, and individualized training strategies, ultimately improving both athletic performance and rehabilitation outcomes.

 

As AI continues to bridge the gap between biomechanics, kinesiology, and sports science, interdisciplinary collaborations are becoming increasingly important. The ability to interpret motion data using AI-based models is revolutionizing injury risk assessment, rehabilitation monitoring, and real-time performance evaluation. Moreover, the growing role of wearable sensors and data-driven modeling is paving the way for intelligent sports solutions that enhance both professional and recreational athletic experiences.

 

This Special Issue on Intelligent Sports aims to showcase cutting-edge AI applications in human movement analysis, sports biomechanics, and performance science. We invite contributions that explore topics such as motion signal processing, AI-driven injury prevention, rehabilitation biomechanics, and the role of wearable technologies in sports.

 

We welcome original research articles, systematic reviews, theoretical discussions, and applied studies from diverse disciplines, including biomechanics, AI, sports science, kinesiology, and computational modeling. Submissions that introduce innovative methodologies, experimental applications, or practical implementations of AI in sports and movement science are highly encouraged.

 

Keywords:

 
•Data-Driven modeling
•Motion Signal Processing
•Explainable AI in Sports Science
•Machine Learning in Sports Biomechanics
•Injury Prevention and Risk Assessment
•Performance Optimization in sports
•Rehabilitation biomechanics
•Wearable technology in Biomechanics
•Athlete Monitoring
•Kinesiology and Movement Science

 

 

Published Papers