Velocity and curvature in human locomotion along complex curved paths: a comparison with hand movements

Abstract There is extensive experimental evidence linking instantaneous velocity to curvature in drawing and hand-writing movements. The empirical relationship between these characteristics of motion and path is well described by a power law in which the velocity varies in proportion to the one-third power of the radius of curvature. It was recently shown that a similar relationship can be observed during locomotion along curved elliptical paths raising the possibility that these very different motor activities might, at some level, share the same planning strategies. It has, however, been noted that the ellipse is a special case with respect to the one-third power law and therefore these previous results might not provide strong evidence that the one-third power law is a general feature of locomotion around curved paths. For this reason the experimental study of locomotion and its comparison with hand writing is extended here to non-elliptical paths. Subjects walked along predefined curved paths consisting of two complex shapes drawn on the ground: the cloverleaf and the limacon. It was found that the data always supported a close relationship between instantaneous velocity and curvature. For these more complex paths, however, the relationship is shape-dependent—although velocity and curvature can still be linked by a power law, the exponent depends on the geometrical form of the path. The results demonstrate the existence of a close relationship between instantaneous velocity and curvature in locomotion that is more general than the one-third power law. The origins of this relationship and its possible explanation in the mechanical balance of forces and in central planning are discussed.

[1]  G. Cavagna,et al.  Mechanics of walking. , 1965, Journal of applied physiology.

[2]  P. Viviani,et al.  Trajectory determines movement dynamics , 1982, Neuroscience.

[3]  E. Bizzi,et al.  Human arm trajectory formation. , 1982, Brain : a journal of neurology.

[4]  P. Viviani,et al.  The law relating the kinematic and figural aspects of drawing movements. , 1983, Acta psychologica.

[5]  P. Greene Running on flat turns: experiments, theory, and applications. , 1985, Journal of biomechanical engineering.

[6]  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.

[7]  P Viviani,et al.  Segmentation and coupling in complex movements. , 1985, Journal of experimental psychology. Human perception and performance.

[8]  A. Wing,et al.  Relation between velocity and curvature in movement: equivalence and divergence between a power law and a minimum-jerk model. , 1988, Journal of experimental psychology. Human perception and performance.

[9]  P. Viviani,et al.  The effect of movement velocity on form perception: Geometric illusions in dynamic displays , 1989, Perception & psychophysics.

[10]  P. Viviani,et al.  Biological movements look uniform: evidence of motor-perceptual interactions. , 1992, Journal of experimental psychology. Human perception and performance.

[11]  David N. Lee,et al.  Where we look when we steer , 1994, Nature.

[12]  G. Cavagna,et al.  External, internal and total work in human locomotion. , 1995, The Journal of experimental biology.

[13]  T. Flash,et al.  Minimum-jerk, two-thirds power law, and isochrony: converging approaches to movement planning. , 1995, Journal of experimental psychology. Human perception and performance.

[14]  D. Ostry,et al.  Origins of the power law relation between movement velocity and curvature: modeling the effects of muscle mechanics and limb dynamics. , 1996, Journal of neurophysiology.

[15]  A Berthoz,et al.  The predictive brain: anticipatory control of head direction for the steering of locomotion , 1996, Neuroreport.

[16]  P Viviani,et al.  The Relationship between Curvature and Velocity in Two-Dimensional Smooth Pursuit Eye Movements , 1997, The Journal of Neuroscience.

[17]  J. Loomis,et al.  Visually Controlled Locomotion: Its Dependence on Optic Flow, Three-Dimensional Space Perception, and Cognition , 1998 .

[18]  Daniel M. Wolpert,et al.  Making smooth moves , 2022 .

[19]  A. Berthoz,et al.  Eye-head coordination for the steering of locomotion in humans: an anticipatory synergy , 1998, Neuroscience Letters.

[20]  Michael I. Jordan,et al.  Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. , 1998, Journal of neurophysiology.

[21]  S. Schaal,et al.  Segmentation of endpoint trajectories does not imply segmented control , 1999, Experimental Brain Research.

[22]  G. Cheron,et al.  Kinematics invariance in multi-directional complex movements in free space: effect of changing initial direction , 1999, Clinical Neurophysiology.

[23]  A. Schwartz,et al.  Motor cortical activity during drawing movements: population representation during lemniscate tracing. , 1999, Journal of neurophysiology.

[24]  B. Cohen,et al.  Interaction of the body, head, and eyes during walking and turning , 2000, Experimental Brain Research.

[25]  S. Schaal,et al.  Origins and violations of the 2/3 power law in rhythmic three-dimensional arm movements , 2000, Experimental Brain Research.

[26]  A. Berthoz,et al.  Relationship between velocity and curvature of a human locomotor trajectory , 2001, Neuroscience Letters.

[27]  William H. Warren,et al.  Optic flow is used to control human walking , 2001, Nature Neuroscience.

[28]  F. Lacquaniti,et al.  Two-thirds power law in human locomotion: role of ground contact forces , 2002, Neuroreport.

[29]  T. Flash,et al.  Comparing Smooth Arm Movements with the Two-Thirds Power Law and the Related Segmented-Control Hypothesis , 2002, The Journal of Neuroscience.

[30]  G. Courtine,et al.  Human walking along a curved path. I. Body trajectory, segment orientation and the effect of vision , 2003, The European journal of neuroscience.

[31]  T. A. Kelley,et al.  Effects of scene inversion on change detection of targets matched for visual salience. , 2003, Journal of vision.

[32]  S. Klein,et al.  Cross- and iso- oriented surrounds modulate the contrast response function: the effect of surround contrast. , 2003, Journal of vision.

[33]  Andrew B Schwartz,et al.  Eye-hand coupling during closed-loop drawing: evidence of shared motor planning? , 2003, Human movement science.

[34]  Richard M Wilkie,et al.  Eye-movements aid the control of locomotion. , 2003, Journal of vision.

[35]  Apostolos P. Georgopoulos,et al.  Three-dimensional drawings in isometric conditions: relation between geometry and kinematics , 2004, Experimental Brain Research.

[36]  M. Kawato,et al.  Trajectory formation of arm movement by cascade neural network model based on minimum torque-change criterion , 1990, Biological Cybernetics.