Spatial and spatio-temporal characterization of movement for the analysis of actions and actors
Spatial and spatio-temporal characterization of movement for the analysis of actions and actors
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Date
2011-10-13
Authors
Claudino, Leonardo
Aloimonos, Yiannis
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Abstract
Movement data is high-dimensional but often redundant, meaning there is certainly
a lower dimensional subspace that spans most of the body configurations within an
action performance. We propose that one such representation can be achieved through
a decomposition method that explores the existence of key configurations and temporal
correlations of those configurations that are typical of action matrices. The approach
is compatible with computational models of motor synergies based on matrix factorizations,
and it builds upon a method that was earlier proposed in the context of biological
motion perception. Our experiments show that vertical jump trials collected
from children and young adults can be consistently reconstructed from the resulting
representation. We also observe that a subset of that same representation suggests differences
among populations of jumpers based on their trials, which serves to illustrate
the potential of the method as a tool to analyze both actions and actors.