Human Movement Analysis
Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Exercise Biology, Sport and Leisure Sciences
Taught In English
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
From elite sport to clinical rehabilitation, we are constantly trying to enhance the physical capabilities of the human body. Today, the main tool in this process is movement analysis.
This course is a practical exploration of that topic. Following a brief general introduction to Human Movement Sciences and the presentation of a number of two and three-dimensional motion-capture techniques, you move into our extensive laboratory. Fitted with force plates, treadmills and even a climbing wall, here you collect your own data by performing relatively simple biomechanical experiments. In the second part of the course you analyse that material using MATLAB, a world-renowned numerical computing environment. As well as learning the ins and outs of this unique software tool, you also acquire the basics of digital signal analysis.
This course acquaints you with various movement registration techniques and their use in sports and rehabilitation settings. By the end of it you will be able to use the MATLAB programming environment to perform basic digital signal analyses on movement data you have collected yourself.
- Trip to the Adidas MiCoach Performance Centre, where Amsterdam football club Ajax uses movement analysis equipment to enhance both its youth and its professional players’ capabilities; and,
- Visit to the Amsterdam Rehabilitation Research Centre at Reade, where state-of-the-art movement analysis is used to support the rehabilitation of patients following strokes, spinal-cord injuries, amputations and so on.
Interactive seminars, practicals
Students from a wide range of science-oriented disciplines, such as Biology, Health Sciences, Physics, Physiotherapy, Sports Sciences and, of course, Human Movement Sciences.
ADDITIONAL ENTRY REQUIREMENTS
To complete this course successfully, it is recommended that you have a good working knowledge of mathematics, in particular differential and integral calculus, and a proven interest in working with technical software tools.