Cluster analysis of movement patterns in multiarticular actions: a tutorial.

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.

[1]  Jianhong Wu,et al.  Data clustering - theory, algorithms, and applications , 2007 .

[2]  G. W. Milligan,et al.  A Review Of Monte Carlo Tests Of Cluster Analysis. , 1981, Multivariate behavioral research.

[3]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[4]  W. I. Schöllhorn,et al.  Recognition of individual walking patterns by means of artificial neural nets , 1999 .

[5]  Keith Davids,et al.  Coordination profiling of movement systems , 2006 .

[6]  B M Nigg,et al.  Identification of individual walking patterns using time discrete and time continuous data sets. , 2002, Gait & posture.

[7]  Wolfgang I. Schöllhorn Coordination Dynamics and its Consequences on Sports , 2003, Int. J. Comput. Sci. Sport.

[8]  Douglas B. Kell,et al.  Computational cluster validation in post-genomic data analysis , 2005, Bioinform..

[9]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[10]  Thomas Jaitner,et al.  Analysis of the long jump technique in the transition from approach to takeoff based on time-continuous kinematic data , 2001 .

[11]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[12]  Andreas Daffertshofer,et al.  Principal components in three-ball cascade juggling , 2000, Biological Cybernetics.

[13]  M. Latash,et al.  Approaches to analysis of handwriting as a task of coordinating a redundant motor system. , 2003, Human movement science.

[14]  E. Smith Methods of Multivariate Analysis , 1997 .

[15]  L. Fisher,et al.  391: A Monte Carlo Comparison of Six Clustering Procedures , 1975 .

[16]  Haihong Hu,et al.  Clustering Validity Based on the Improved Hubert \Gamma Statistic and the Separation of Clusters , 2006, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06).

[17]  D Scheibler,et al.  Monte Carlo Tests of the Accuracy of Cluster Analysis Algorithms: A Comparison of Hierarchical and Nonhierarchical Methods. , 1985, Multivariate behavioral research.

[18]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[19]  Gregor Schöner,et al.  Toward a new theory of motor synergies. , 2007, Motor control.

[20]  Stephan P. Swinnen,et al.  Principal Component Analysis of Complex Multijoint Coordinative Movements , 2005, Biological Cybernetics.

[21]  T Chau,et al.  A review of analytical techniques for gait data. Part 2: neural network and wavelet methods. , 2001, Gait & posture.

[22]  Michalis Vazirgiannis,et al.  Clustering validity checking methods: part II , 2002, SGMD.

[23]  Rick Barry,et al.  The Art of Shooting Baskets: From the Free Throw to the Slam Dunk , 1992 .

[24]  Hidetoshi Shimodaira,et al.  Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling , 2004, math/0508602.

[25]  K M Newell,et al.  Learning the Pedalo Locomotion Task , 2005, Journal of motor behavior.

[26]  R. Gnanadesikan,et al.  Better alternatives to current methods of scaling and weighting data for cluster analysis , 2007 .

[27]  Keith Davids,et al.  Coordination changes in a discrete multi-articular action as a function of practice. , 2008, Acta psychologica.

[28]  Andreas Daffertshofer,et al.  PCA in studying coordination and variability: a tutorial. , 2004, Clinical biomechanics.

[29]  W. I. Schöllhorn,et al.  Gait pattern analysis using selforganizing neural networks , 1997 .

[30]  J. Breckenridge,et al.  Validating Cluster Analysis: Consistent Replication and Symmetry , 2000, Multivariate behavioral research.

[31]  Jon R. Kettenring,et al.  The Practice of Cluster Analysis , 2006, J. Classif..

[32]  M. Latash,et al.  What do synergies do? Effects of secondary constraints on multidigit synergies in accurate force-production tasks. , 2008, Journal of neurophysiology.

[33]  Gregor Schöner,et al.  The uncontrolled manifold concept: identifying control variables for a functional task , 1999, Experimental Brain Research.

[34]  B. Everitt,et al.  A Monte Carlo Study of the Recovery of Cluster Structure in Binary Data by Hierarchical Clustering Techniques. , 1987, Multivariate behavioral research.

[35]  Gavan Lintern,et al.  Dynamic patterns: The self-organization of brain and behavior , 1997, Complex.

[36]  C. Nester,et al.  Cluster analysis for the extraction of sagittal gait patterns in children with cerebral palsy. , 2007, Gait & posture.

[37]  Michalis Vazirgiannis,et al.  Cluster validity methods: part I , 2002, SGMD.

[38]  S. L. Hong,et al.  Practice effects on local and global dynamics of the ski-simulator task , 2006, Experimental Brain Research.

[39]  D. Southard,et al.  Change in Throwing Pattern: Critical Values for Control Parameter of Velocity , 2002, Research quarterly for exercise and sport.

[40]  S. Coleman,et al.  Examining Movement Variability in the Basketball Free-Throw Action at Different Skill Levels , 2003, Research quarterly for exercise and sport.

[41]  J. Schorer,et al.  Identification of Interindividual and Intraindividual Movement Patterns in Handball Players of Varying Expertise Levels , 2007, Journal of motor behavior.

[42]  A. Opstal Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[43]  David J. Ketchen,et al.  THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE , 1996 .

[44]  T Chau,et al.  A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods. , 2001, Gait & posture.

[45]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[46]  Sandra Maria Sbeghen Ferreira de Freitas,et al.  Effect of motor planning on use of motor abundance , 2007, Neuroscience Letters.

[47]  D. Southard,et al.  Mass and velocity: control parameters for throwing patterns. , 1998, Research quarterly for exercise and sport.

[48]  P. Sopp Cluster analysis. , 1996, Veterinary immunology and immunopathology.

[49]  T. R. Kaminski,et al.  Learning a multi-joint throwing task: a morphometric analysis of skill development , 2008, Experimental Brain Research.

[50]  J. Kelso,et al.  Self-organization of coordinative movement patterns ☆ , 1988 .

[51]  A. Jenkinson,et al.  Quantitative Analysis and Classification of Gait Patterns in Cerebral Palsy Using a Three-Dimensional Motion Analyzer , 1998, Journal of child neurology.

[52]  Wolfgang I. Schöllhorn,et al.  Self-Organizing Maps for the Analysis of Complex Movement Patterns , 1997, Neural Processing Letters.

[53]  Richard A. Magill,et al.  Motor Learning. Concepts and Applications , 1998 .

[54]  Michael T. Turvey,et al.  Coordination modes in the multisegmental dynamics of hula hooping , 2004, Biological Cybernetics.

[55]  K. Ball,et al.  Different centre of pressure patterns within the golf stroke I: Cluster analysis , 2007, Journal of sports sciences.

[56]  Francesco Lacquaniti,et al.  Control of Fast-Reaching Movements by Muscle Synergy Combinations , 2006, The Journal of Neuroscience.

[57]  Hidetoshi Shimodaira Testing Regions with Nonsmooth Boundaries via Multiscale Bootstrap , 2008 .

[58]  F C T van der Helm,et al.  Describing gait as a sequence of states. , 2006, Journal of biomechanics.

[59]  R K Blashfield,et al.  The Literature On Cluster Analysis. , 1978, Multivariate behavioral research.

[60]  R. Bartlett,et al.  Research design and statistics in biomechanics and motor control , 2001, Journal of sports sciences.

[61]  Hidetoshi Shimodaira An approximately unbiased test of phylogenetic tree selection. , 2002, Systematic biology.

[62]  Mark L. Latash,et al.  The role of kinematic redundancy in adaptation of reaching , 2006, Experimental Brain Research.

[63]  Hidetoshi Shimodaira,et al.  Pvclust: an R package for assessing the uncertainty in hierarchical clustering , 2006, Bioinform..