AI Applications in Biomechanics

Catalog description

This asynchronous course introduces the fundamentals of artificial intelligence and machine learning (AI/ML) as applied to human biomechanics. BME 2643 is designed as a follow-up to the introductory biomechanics course BME 2641. This course focuses on how data-driven methods can be used to analyze movement, classify biomechanical patterns, and support decision making in sports, rehabilitation, and human performance. Students learn foundational concepts in data processing, feature extraction from kinematic and kinetic signals, and basic AI/ML model workflows using simplified datasets. All content is delivered through short online modules supported by guided examples and MATLAB exercises. Prior exposure to basic biomechanics concepts and basic MATLAB knowledge is expected, but no advanced programming skills are required.