The analysis and interpretation of human motion are fundamental aspects of sport science, playing a key role in maximizing human performance, guiding equipment design, identifying musculoskeletal injury risks, and supporting rehabilitation. To advance knowledge in these areas, sport science professionals often need to manage and analyze large human motion datasets in both research and applied settings.

This course will introduce students to the various tools and techniques used to quantify and analyze human motion, emphasizing their biological basis and practical applications in sport science and biomechanics. The course will offer a balanced approach, combining instruction on computational theory and standard conventions with hands-on experience using both open-source and commercially available motion analysis software widely used in industry and research laboratories.

Additionally, we will explore the underlying assumptions built into many motion analysis tools and examine how these simplifications can impact the quantities and interpretations of kinematic and kinetic outcome variables. By the end of this course, students will have developed a strong theoretical and practical foundation, preparing them to effectively and independently analyze complex human motion data in both applied and research contexts.