Humans Use Similar Posture Sequences in a Whole-Body Tracing Task

Summary Humans have elegant bodies that allow gymnastics, piano playing, and tool use, but understanding how they do this in detail is difficult because their musculoskeletal systems are extremely complicated. Previous studies have shown that common movements such as reaching for a coffee cup, cycling a bicycle, or playing the piano have common patterns across subjects. This paper shows that an arbitrary set of whole-body movements used to trace large closed curves have common patterns both in the trajectory of the body's limbs and in variations within those trajectories. The commonality of the result should spur the search for explanations for its generality. One such principle could be that humans choose trajectories that are economical in energetic cost. Another synergistic possibility is that common movements can be saved in segments that can be combined to facilitate the process of deployment.

[1]  T. Aflalo,et al.  Mapping Behavioral Repertoire onto the Cortex , 2007, Neuron.

[2]  Konrad Paul Kording,et al.  Decision Theory: What "Should" the Nervous System Do? , 2007, Science.

[3]  Matthew T. Kaufman,et al.  Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine? , 2010, Neuron.

[4]  Marc Jeannerod,et al.  Hand aperture patterns in prehension. , 2012, Human movement science.

[5]  Dana H. Ballard,et al.  Realtime, Physics-Based Marker Following , 2012, MIG.

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

[7]  Ruud G. J. Meulenbroek,et al.  Planning Reaches by Evaluating Stored Postures. , 1995 .

[8]  Alexander Rm,et al.  A minimum energy cost hypothesis for human arm trajectories. , 1997 .

[9]  R. McN. Alexander,et al.  A minimum energy cost hypothesis for human arm trajectories , 1997, Biological Cybernetics.

[10]  Konrad P. Kording,et al.  Decision Theory: What "Should" the Nervous System Do? , 2007 .

[11]  Sung-Hyuk Cha,et al.  Individuality of handwriting. , 2002, Journal of forensic sciences.

[12]  Yuval Tassa,et al.  Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[13]  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.

[14]  J. M. Hollerbach,et al.  Deducing planning variables from experimental arm trajectories: Pitfalls and possibilities , 1987, Biological Cybernetics.

[15]  T. Flash,et al.  Arm Trajectory Modifications During Reaching Towards Visual Targets , 1991, Journal of Cognitive Neuroscience.

[16]  M. Latash,et al.  Motor Control Strategies Revealed in the Structure of Motor Variability , 2002, Exercise and sport sciences reviews.

[17]  N. Troje Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. , 2002, Journal of vision.

[18]  Martijn Wisse,et al.  A Three-Dimensional Passive-Dynamic Walking Robot with Two Legs and Knees , 2001, Int. J. Robotics Res..

[19]  Konrad Paul Kording,et al.  The statistics of natural hand movements , 2008, Experimental Brain Research.

[20]  Franck Multon,et al.  Computer animation of human walking: a survey , 1999, Comput. Animat. Virtual Worlds.

[21]  Tieniu Tan,et al.  Personal identification based on handwriting , 2000, Pattern Recognit..

[22]  J. Donelan,et al.  Mechanical work for step-to-step transitions is a major determinant of the metabolic cost of human walking. , 2002, The Journal of experimental biology.

[23]  Eli Brenner,et al.  Similarities between digits’ movements in grasping, touching and pushing , 2010, Experimental Brain Research.

[24]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[25]  Soichiro Suzuki,et al.  416 Stabilization of a Passive Walking Robot with Two Legs and Knees , 2006 .

[26]  F. Lacquaniti Central representations of human limb movement as revealed by studies of drawing and handwriting , 1989, Trends in Neurosciences.

[27]  Eli Brenner,et al.  Random walk of motor planning in task-irrelevant dimensions. , 2013, Journal of neurophysiology.

[28]  Zoubin Ghahramani,et al.  Computational principles of movement neuroscience , 2000, Nature Neuroscience.

[29]  Claire L. Roether,et al.  Critical features for the perception of emotion from gait. , 2009, Journal of vision.

[30]  J. Montepare,et al.  The identification of emotions from gait information , 1987 .