Course content

In this course, one will learn theory and practice of quantitative methods of movement analysis in a clinical and sports context. Focus is on kinematics through 3D-video based methods and dynamics using force platforms. Other relevant methods that contribute on the understanding of movement coordination and cost may also be briefly introduced.

Fundamentals in signal processing (e.g., noise reduction, smoothing, derivation and integration) is an important element in the course.

Fundamental principles of inverse dynamics as modelling method will be introduced.

Further, the course will provide insight in the functional design of the locomotor system.

Learning outcome

Knowledge

The candidate

• Has advanced knowledge of key measurement methods in movement analysis.
• Has basic understanding of mathematical principles and algorithms in motion analysis.
• Has advanced understanding of the interpretation of quantitative movement analysis in a clinical and sporting context.
• Has knowledge of movement coordination from a biomechanical perspective.
• Has basic understanding of the relationship between (metabolic) energy consumption and work in physical activity.

Skills

The candidate

• Can use laboratory-based measurement methods.
• Can apply advanced analytics to movement analysis data.

General competence

The candidate

• Can present a project plan and results in oral and written form.
• Can reflect on ethical issues related to the use of movement analysis data.

Learning methods and activities

The course has lectures throughout the whole semester. Lectures, laboratory practical, tutorials, student groupwork, reports/presentations

Specific conditions

Course materials

Compendia and research papers. Information will be given at the beginning of the semester.

Credit reductions