Motion capture systems, using optical, magnetic or mechanical sensors are now widely used to record\ud
human motion. Motion capture provides us with precise measurements of human motion at a very high\ud
recording frequency and accuracy, resulting in a massive amount of movement data on several joints of the\ud
body or markers of the face. But how do we make sure that we record the right things? And how can we\ud
correctly interpret the recorded data?\ud
In this multi-disciplinary symposium, speakers from the field of biomechanics, computer animation, human\ud
computer interaction and behavior science come together to discus their methods to both record motion and\ud
to extract useful properties from the data. In these fields, the construction of human movement models from\ud
motion capture data is the focal point, although the application of such models differs per field. Such\ud
models can be used to generate and evaluate highly adaptable and believable animation on virtual\ud
characters in computer animation, to explore the details of gesture interaction in Human Computer\ud
Interaction applications, to identify patterns related to affective states or to find biomechanical properties of\ud
human movement
