Sport biomechanics represents an important research field aimed at analyzing sport movements in order to (i) quantitatively evaluate athlete performance; (ii) offer useful tools and guidelines for coaches to apply during athlete training; and, (iii) prevent, or minimize, the risk of injury. The analysis can be related to kinematics, kinetics, and muscle activity, as well as physiological index assessment. Recent technological innovations allow the performance of movement analysis during sporting activities thanks to the miniaturization of wearable sensors that do not influence the technical movements of athletes.

This special issue therefore aims to collect original research articles and review articles that discuss innovative methodologies for sport biomechanics applications in order to gain a deeper insight into the kinematics, kinetics, muscle activity, and physiological behavior of athletes. Specifically, the issue will publish studies focused on the use of wearable sensors in sport applications and consider the uses of related mathematical modeling, computer simulation, and measurements. In addition, the issue will also emphasize the use of experimental protocols and machine learning algorithms, as well as synthetic indices, in order to highlight how innovative methodologies can enhance sport biomechanics analysis.

Potential topics include but are not limited to the following:

• Machine learning algorithms for sport applications
• Validation of innovative biomechanical indices for athlete performance evaluation and injury prevention
• Systems and methods for providing biofeedback in sport applications
• Design and development of wearable sensors for sport applications from a biomechanical perspective
• Mathematical modeling and computer simulation for performance evaluation in sports from a biomechanical perspective
• Guidelines on wearable sensor output postprocessing to ensure repeatability and reproducibility of applied sport biomechanics research