title: Cluster analysis of movement patterns in multiarticular actions: a tutorial.
abstract: The present paper proposes a technical analysis method for extracting information about movement patterning in studies of motor control, based on a cluster analysis of movement kinematics. In a tutorial fashion, data from three different experiments are presented to exemplify and validate the technical method. When applied to three different basketball-shooting techniques, the method clearly distinguished between the different patterns. When applied to a cyclical wrist supination-pronation task, the cluster analysis provided the same results as an analysis using the conventional discrete relative phase measure. Finally, when analyzing throwing performance constrained by distance to target, the method grouped movement patterns together according to throwing distance. In conclusion, the proposed technical method provides a valuable tool to improve understanding of coordination and control in different movement models, including multiarticular actions.
authors.affiliation: Groupe de Recherche Apprentissage et Contexte, école des Hautes études en Sciences Sociales, Paris, France.
authors.forename: Robert
authors.initials: R
authors.lastname: Rein
authors.forename: Chris
authors.initials: C
authors.lastname: Button
authors.forename: Keith
authors.initials: K
authors.lastname: Davids
authors.forename: Jeffery
authors.initials: J
authors.lastname: Summers
mesh_terms: D000328:Adult; D053587:Arthrometry, Articular / Q000706:statistics & numerical data; D001490:Basketball / Q000502:physiology; D001696:Biomechanical Phenomena; D016000:Cluster Analysis; D006801:Humans; D007596:Joints / Q000502:physiology; D009068:Movement / Q000502:physiology*; D011597:Psychomotor Performance / Q000502:physiology*