The field of sports science is witnessing a significant transformation driven by advanced data acquisition technologies. Leveraging tools such as wearable sensors and high-speed video capture systems, researchers can now undertake a comprehensive monitoring of athletes’ physiological reactions and biomechanical movements during training or regular activities. This has provided a strong foundation for enhanced analytical precision, enabling a better understanding of how athletes perform and respond under various conditions.
This Research Topic aims to explore the application of state-of-the-art technologies in sports for improving performance and preventing injuries. With the adoption of machine learning, deep learning, and complex statistical models, these technologies assist in transforming vast arrays of raw data into actionable insights. This facilitates the identification of performance patterns, optimization of training regimens, and prediction of potential injury risks, ushering in a new era of personalized and strategic sports training. The goal is to integrate advanced analytics to foster a data-driven approach in sports science, enhancing athlete performance and safety with precision.
To gather further insights into the evolution of sports performance through technology, we welcome articles addressing, but not limited to, the following themes:
o Integration of advanced sensors and monitoring technologies for dynamic sports analysis
o AI and machine learning applications for performance evaluation and athlete development
o Advanced analytical techniques for biomechanical and physiological data
o Digital innovations in sports equipment design and functionality assessment
o Data-driven strategies for injury prediction, prevention, and rehabilitation in sports
We invite contributions that delve into these areas, including original research, comprehensive reviews, and technical notes. This Research Topic seeks to highlight the synergistic potential of technology and sports, paving the way for groundbreaking developments in athlete training, performance evaluation, and injury prevention, thereby enhancing the overall field of sports science.
Keywords: Sports analysis, Sensors, Computer Vision, Physical activity, Biomechanics
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
