Emerging Trends in Computational Biomechanics for Sporting Excellence

In the field of sports biomechanics, computational modeling has emerged as a powerful tool for analyzing human movement and enhancing athletic performance. Rapid advancements in technology and data analysis have provided new opportunities for experts to explore athletic biomechanics more thoroughly. Despite these innovations, there remains a considerable gap in how precisely these models optimize performance and mitigate injury risks. While significant strides have been made in model development and validation, critical questions persist about the integration of multisource data and the practical applications of these models in real-world sporting contexts.



The ongoing research aims to refine and deploy computational models to elevate sports biomechanics understanding. This Research Topic seeks to investigate how cutting-edge models can improve athletic technique, devise optimized training routines, and hone new strategies for injury prevention. By utilizing computational techniques like finite element analysis, machine learning, and multiscale modeling approaches, the goal is to uncover deeper insights and validate effective sporting practices. An important objective is to forge stronger links between traditional biomechanical theories and modern technological advances, bridging research gaps and applying findings in practical sports settings.



The scope of this Research Topic is targeted towards defining and expanding current computational techniques within sports biomechanics. We welcome articles addressing, but not limited to, the following themes:

o Development and validation of computational models in sports biomechanics

o Applications of finite element analysis in sports performance and injury prevention

o Musculoskeletal modeling and simulation of sports activities

o Machine learning and artificial intelligence in biomechanical data analysis

o Biomechanical optimization of sports techniques and equipment

o Real-time biomechanical feedback systems for athletes

o Multiscale modeling approaches in sports biomechanics

o Personalized biomechanical models for injury prevention and rehabilitation

o Integration of wearable sensor data with computational models

o Innovations in software and tools for computational biomechanics



The research can include high-quality original research, reviews, technical notes, and case studies, aiming to push the boundaries of what computational biomechanics can achieve in the context of sports.