title: Hierarchical and multiple hand action representation using temporal postural synergies.
abstract: The notion of synergy enables one to provide simplified descriptions of hand actions. It has been used in a number of different meanings ranging from kinematic and dynamic synergies to postural and temporal postural synergies. However, relatively little is known about how representing an action by synergies might take into account the possibility to have a hierarchical and multiple action representation. This is a key aspect for action representation as it has been characterized by action theorists and cognitive neuroscientists. Thus, the aim of the present paper is to investigate whether and to what extent a hierarchical and multiple action representation can be obtained by a synergy approach. To this purpose, we took advantage of representing hand action as a linear combination of temporal postural synergies (TPSs), but on the assumption that TPSs have a tree-structured organization. In a tree-structured organization, a hand action representation can involve a TPS only if the ancestors of the synergy in the tree are themselves involved in the action representation. The results showed that this organization is enough to force a multiple representation of hand actions in terms of synergies which are hierarchically organized.
authors.affiliation: Department of Physical Sciences, University of Naples Federico II, via Cinzia, 81100, Naples, Italy. tessitore@na.infn.it
authors.forename: G
authors.initials: G
authors.lastname: Tessitore
authors.forename: C
authors.initials: C
authors.lastname: Sinigaglia
authors.forename: R
authors.initials: R
authors.lastname: Prevete
mesh_terms: D000328:Adult; D000465:Algorithms; D001696:Biomechanical Phenomena; D003627:Data Interpretation, Statistical; D004558:Electric Stimulation; D005385:Fingers / Q000502:physiology; D006225:Hand / Q000502:physiology*; D018737:Hand Strength / Q000502:physiology; D006801:Humans; D008297:Male; D008959:Models, Neurological; D011187:Posture / Q000502:physiology*; D025341:Principal Component Analysis; D011597:Psychomotor Performance / Q000502:physiology; D055815:Young Adult