Summary: ARTICULATED MOTION ANALYSIS FROM MOTION CAPTURE
, A. Del Bue2
and P. M. Q. Aguiar3
We present computational methods to extract and model different joints of a generic
subject, in an automatic way. The input for our methods is simply a set of trajectories
of 3D points, obtained from a motion capture system (MOCAP). Due to the piecewise
rigidity of the skeleton, these trajectories belong to different subspaces (of the space of
all possible trajectories). We use this knowledge to derive computationally simple
algorithms that are able to infer joint properties from the trajectories of the 3D points.
This model-free approach enables analyzing directly specific subjects, rather than
requiring user-defined a priori models of the skeleton. Such data-driven models are
useful in the analysis of human walk and the evaluation of joint stress for pathology
detection. Also, the customized skeleton models, together with physiological muscular
information, allow to accurately analyze high level performances in sports.
Computational models of human articulations are nowadays fundamental to perform an
accurate analysis of the mechanical motion of a human body. Applications of these