Spatial and spatio-temporal characterization of movement for the analysis of actions and actors

dc.contributor.authorClaudino, Leonardo
dc.contributor.authorAloimonos, Yiannis
dc.description.abstractMovement 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.en_US
dc.description.sponsorshipNational Institute of Healthen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtComputer Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.relation.ispartofseriesUM Computer Science Department;CS-TR-4995
dc.subjectaction decompositionen_US
dc.subjectaction representation
dc.subjecthuman action analysis
dc.subjectmotor control
dc.subjectmotor coordination
dc.subjectmovement analysis
dc.subjectspatial representation
dc.subjectspatio-temporal representation
dc.subjectvariable projection
dc.titleSpatial and spatio-temporal characterization of movement for the analysis of actions and actorsen_US
dc.typeTechnical Reporten_US


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