Catching a Ball at the Right Time and Place: Individual Factors Matter

Intercepting a moving object requires accurate spatio-temporal control. Several studies have investigated how the CNS copes with such a challenging task, focusing on the nature of the information used to extract target motion parameters and on the identification of general control strategies. In the present study we provide evidence that the right time and place of the collision is not univocally specified by the CNS for a given target motion; instead, different but equally successful solutions can be adopted by different subjects when task constraints are loose. We characterized arm kinematics of fourteen subjects and performed a detailed analysis on a subset of six subjects who showed comparable success rates when asked to catch a flying ball in three dimensional space. Balls were projected by an actuated launching apparatus in order to obtain different arrival flight time and height conditions. Inter-individual variability was observed in several kinematic parameters, such as wrist trajectory, wrist velocity profile, timing and spatial distribution of the impact point, upper limb posture, trunk motion, and submovement decomposition. Individual idiosyncratic behaviors were consistent across different ball flight time conditions and across two experimental sessions carried out at one year distance. These results highlight the importance of a systematic characterization of individual factors in the study of interceptive tasks.

[1]  F. Lacquaniti,et al.  Does the brain model Newton's laws? , 2001, Nature Neuroscience.

[2]  J. Tresilian,et al.  a moving target: effects of temporal precision constraints and movement amplitude , 2022 .

[3]  Michael I. Jordan,et al.  Optimal feedback control as a theory of motor coordination , 2002, Nature Neuroscience.

[4]  Rob Gray,et al.  Different strategies for using motion-in-depth information in catching. , 2005, Journal of experimental psychology. Human perception and performance.

[5]  P J Beek,et al.  Modelling the control of interceptive actions. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[6]  J R Tresilian,et al.  Analysis of recent empirical challenges to an account of interceptive timing , 1999, Perception & psychophysics.

[7]  E Burdet,et al.  Motor memory and local minimization of error and effort, not global optimization, determine motor behavior. , 2010, Journal of neurophysiology.

[8]  N. A. Borghese,et al.  Time-varying mechanical behavior of multijointed arm in man. , 1993, Journal of neurophysiology.

[9]  Eli Brenner,et al.  Intercepting moving targets: why the hand's path depends on the target's velocity , 2005, IS&T/SPIE Electronic Imaging.

[10]  T. Flash,et al.  The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[11]  Anne-Marie Brouwer,et al.  Hitting moving objects: is target speed used in guiding the hand? , 2002, Experimental Brain Research.

[12]  J. F. Soechting,et al.  Path constraints on point-to-point arm movements in three-dimensional space , 1986, Neuroscience.

[13]  James A. Bovaird,et al.  On the use of multilevel modeling as an alternative to items analysis in psycholinguistic research , 2007, Behavior research methods.

[14]  Gregor Schöner,et al.  Identifying the control structure of multijoint coordination during pistol shooting , 2000, Experimental Brain Research.

[15]  Emanuel Todorov,et al.  Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control , 2007, The Journal of Neuroscience.

[16]  Amy H. Herring,et al.  Testing Random Effects in the Linear Mixed Model Using Approximate Bayes Factors , 2009, Biometrics.

[17]  J. Tresilian,et al.  Manual interception of moving targets in two dimensions: Performance and space-time accuracy , 2009, Brain Research.

[18]  N Vuillerme,et al.  The effect of expertise in gymnastics on proprioceptive sensory integration in human subjects , 2001, Neuroscience Letters.

[19]  Roger Bartlett,et al.  Is movement variability important for sports biomechanists? , 2007, Sports biomechanics.

[20]  Michael F. Land,et al.  From eye movements to actions: how batsmen hit the ball , 2000, Nature Neuroscience.

[21]  Daeyeol Lee,et al.  Manual interception of moving targets II. On-line control of overlapping submovements , 1997, Experimental Brain Research.

[22]  P. McLeod,et al.  Running to catch the ball , 1993, Nature.

[23]  Keith Davids,et al.  Anticipatory responses to perturbation of co-ordination in one-handed catching. , 2002, Acta psychologica.

[24]  Keith Davids,et al.  Interceptive actions in sport : information and movement , 2002 .

[25]  F. Lacquaniti,et al.  Fast adaptation of the internal model of gravity for manual interceptions: evidence for event-dependent learning. , 2005, Journal of neurophysiology.

[26]  Neville Hogan,et al.  Avoiding Spurious Submovement Decompositions II: A Scattershot Algorithm , 2006, Biological Cybernetics.

[27]  E. Todorov Optimality principles in sensorimotor control , 2004, Nature Neuroscience.

[28]  R. Baayen,et al.  Mixed-effects modeling with crossed random effects for subjects and items , 2008 .

[29]  G. J. Savelsbergh,et al.  Grasping tau. , 1991, Journal of experimental psychology. Human perception and performance.

[30]  J. Tresilian Hitting a moving target: Perception and action in the timing of rapid interceptions , 2005, Perception & psychophysics.

[31]  Jan P. Allebach,et al.  Human vision and electronic imaging , 1996, J. Electronic Imaging.

[32]  Gilles Montagne,et al.  Spatial and Temporal Adaptations That Accompany Increasing Catching Performance During Learning , 2007, Journal of motor behavior.

[33]  Simon J. Bennett,et al.  Advance knowledge effects on kinematics of one-handed catching , 2010, Experimental Brain Research.

[34]  Gilles Montagne,et al.  Planning and on-line control of catching as a function of perceptual-motor constraints. , 2007, Acta psychologica.

[35]  Daniel Bullock,et al.  Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs , 2001, Neural Networks.

[36]  Joan López-Moliner,et al.  Determining whether a ball will land behind or in front of you: Not just a combination of expansion and angular velocity , 2006, Vision Research.

[37]  Gilles Montagne,et al.  Reorganization of catching coordination under varying temporal constraints. , 2006, Motor control.

[38]  W. Bialek,et al.  A sensory source for motor variation , 2005, Nature.

[39]  David N. Lee,et al.  Visual Timing in Hitting An Accelerating Ball , 1983, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[40]  Lesa Hoffman,et al.  Multilevel models for the experimental psychologist: Foundations and illustrative examples , 2007, Behavior research methods.

[41]  Eli Brenner,et al.  Prediction of a moving target's position in fast goal-directed action , 1995, Biological Cybernetics.

[42]  F. Lacquaniti,et al.  Coordinate transformations in the control of cat posture. , 1994, Journal of neurophysiology.

[43]  J. F. Soechting,et al.  Target Interception: Hand–Eye Coordination and Strategies , 2007, The Journal of Neuroscience.

[44]  S. Grossberg,et al.  Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation. , 1988, Psychological review.

[45]  P. Morasso Spatial control of arm movements , 2004, Experimental Brain Research.

[46]  C. K. Liu,et al.  Learning physics-based motion style with nonlinear inverse optimization , 2005, SIGGRAPH 2005.

[47]  C. Atkeson,et al.  Kinematic features of unrestrained vertical arm movements , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[48]  Eli Brenner,et al.  The quantitative use of velocity information in fast interception , 2004, Experimental Brain Research.

[49]  N. Hogan,et al.  Submovements grow larger, fewer, and more blended during stroke recovery. , 2003, Motor control.

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

[51]  J. Adams Historical review and appraisal of research on the learning, retention, and transfer of human motor skills. , 1987 .

[52]  S. A. Wallace,et al.  Order parameters for the neural organization of single, multijoint limb movement patterns , 2004, Experimental Brain Research.

[53]  F. C. Bakker,et al.  Catching balls: how to get the hand to the right place at the right time. , 1994, Journal of experimental psychology. Human perception and performance.

[54]  Seville Chapman Catching a Baseball , 1968 .

[55]  M. Landy,et al.  Optimal Compensation for Changes in Task-Relevant Movement Variability , 2005, The Journal of Neuroscience.

[56]  Daeyeol Lee,et al.  Manual interception of moving targets I. Performance and movement initiation , 1997, Experimental Brain Research.

[57]  D. Stram,et al.  Variance components testing in the longitudinal mixed effects model. , 1994, Biometrics.

[58]  A. d’Avella,et al.  A new ball launching system with controlled flight parameters for catching experiments , 2011, Journal of Neuroscience Methods.

[59]  F. Lacquaniti,et al.  Internal models and prediction of visual gravitational motion , 2008, Vision Research.

[60]  N. A. Bernshteĭn The co-ordination and regulation of movements , 1967 .

[61]  J. Krakauer,et al.  Inside the brain of an elite athlete: the neural processes that support high achievement in sports , 2009, Nature Reviews Neuroscience.

[62]  G. Montagne,et al.  The control and coordination of one-handed catching: the effect of temporal constraints , 1994, Experimental Brain Research.

[63]  A. Faisal,et al.  Near Optimal Combination of Sensory and Motor Uncertainty in Time During a Naturalistic Perception-Action Task , 2008, Journal of neurophysiology.

[64]  N Vuillerme,et al.  The effect of expertise in gymnastics on postural control , 2001, Neuroscience Letters.

[65]  Francesco Nori,et al.  Manifold reaching paradigm: how do we handle target redundancy? , 2011, Journal of neurophysiology.

[66]  D. Regan,et al.  Binocular and monocular stimuli for motion in depth: Changing-disparity and changing-size feed the same motion-in-depth stage , 1979, Vision Research.

[67]  F. Lacquaniti,et al.  Individual characteristics of human walking mechanics , 1998, Pflügers Archiv.

[68]  F. Lacquaniti,et al.  Visuo-motor coordination and internal models for object interception , 2009, Experimental Brain Research.

[69]  E Brenner,et al.  Hitting moving objects. The dependency of hand velocity on the speed of the target. , 2000, Experimental brain research.

[70]  A. M. Burden,et al.  The role of predictive visual temporal information in the coordination of muscle activity in catching , 2004, Experimental Brain Research.