Biomechanical Analysis

Biomechanical analysis uses computational methods to study the mechanics of biological systems, primarily focusing on movement and its underlying forces. Current research emphasizes developing accurate and efficient motion capture techniques, including markerless systems leveraging computer vision and machine learning algorithms like MoveNet and deep learning models, to analyze human movement in various contexts such as sports, rehabilitation, and industrial settings. These advancements improve the accessibility and precision of biomechanical assessments, leading to better injury prevention strategies, personalized rehabilitation programs, and enhanced understanding of human movement across diverse populations and activities. The integration of biomechanical data with other clinical information, such as in glaucoma studies, also shows promise for improving diagnostic and prognostic capabilities.