Effects of grasping force magnitude on the coordination of digit forces in multi-finger prehension

The study addresses three main questions: (1) Does the magnitude of the grasping force affect the prehension synergies, i.e., conjoint changes of finger forces and moments? (2) Do individual finger forces scale with the total grasping forces (‘scale-invariance hypothesis’)? (3) How specification of the grasping force magnitude affects the inverse optimization of digit forces. Subjects (n = 7) grasped with minimal force an instrumented handle and maintained it at rest in the air. Then, the subjects doubled the initial grasping force. The forces and moments exerted by individual digits were recorded with six-component sensors. External torques that the subjects should resist (9 in total) varied among the trials from 0 to 0.46 Nm both in clockwise and counterclockwise directions. After the force doubling, the moments of the normal forces (Mn) increased in the pronation effort tasks (PR-tasks) and decreased in the supination effort tasks (SU-tasks). The changes in the moments of the tangential forces (Mt) were opposite to the Mn changes; the moments increased in the SU-tasks and decreased in the PR-tasks. The opposite effects of force doubling on the Mts in the SU-tasks and PR-tasks were a consequence of the unidirectional changes of the thumb tangential forces: in all the tasks the contribution of the thumb tangential force to the total tangential force increased after the grasping force doubling (and the total contribution of the four fingers decreased). The decrease of the virtual finger (VF) tangential force was mainly due to the decrease of the index finger force (VF is an imagined finger that exerts the same force and moment as all the fingers together). In the non-zero torque tasks the individual finger forces did not scale proportionally with the grasping force, the sharing percentage of the individual finger forces in the VF normal force changed with the grasping force increase. The root mean square differences between the actual finger sharing percentages in the VF force and the sharing percentages predicted from optimization procedures in which different cost functions were used were in all cases smaller after the doubling than before the doubling. Hence the answers to the three questions formulated above are: (1) the alteration of the grasping force magnitude induces complex coordinated changes of all digit forces and moments; (2) the scale invariance hypothesis is confirmed only for the zero-torque tasks and rejected for the non-zero tasks, and (3) the specification of the grasping force magnitude at the level of twice the initial grasping force—which essentially restricts the control task to the object tilt prevention—improves the accuracy of the employed optimization procedures.

[1]  Y. Nubar,et al.  A minimal principle in biomechanics , 1961 .

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

[3]  J. Foley The co-ordination and regulation of movements , 1968 .

[4]  Roy D. Crowninshield,et al.  Use of Optimization Techniques to Predict Muscle Forces , 1978 .

[5]  R. Crowninshield,et al.  THE PREDICTION OF FORCES IN JOINT STRUCTURES: DISTRIBUTION OF INTERSEGMENTAL RESULTANTS , 1981, Exercise and sport sciences reviews.

[6]  A. Goodwin,et al.  Hand function and the neocortex , 1985 .

[7]  M. Arbib Coordinated control programs for movements of the hand , 1985 .

[8]  Keith C. Hayes,et al.  Strength and endurance of skeletal muscle in the elderly , 1986 .

[9]  W. Rymer,et al.  Characteristics of synergic relations during isometric contractions of human elbow muscles. , 1986, Journal of neurophysiology.

[10]  S. Gruber,et al.  Robot hands and the mechanics of manipulation , 1987, Proceedings of the IEEE.

[11]  Thea Iberall,et al.  The nature of human prehension: Three dextrous hands in one , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[12]  Richard M. Murray,et al.  A Mathematical Introduction to Robotic Manipulation , 1994 .

[13]  Moshe Hershkovitz,et al.  Toeard a formulation of the human grasping quality sense , 1995, J. Field Robotics.

[14]  J Mizrahi,et al.  A biomechanical model of index finger dynamics. , 1995, Medical engineering & physics.

[15]  Hideki Hashimoto,et al.  Dextrous hand grasping force optimization , 1996, IEEE Trans. Robotics Autom..

[16]  J F Soechting,et al.  Matching object size by controlling finger span and hand shape. , 1997, Somatosensory & motor research.

[17]  Moshe Hershkovitz,et al.  Experimental validation of an optimization formulation of the human grasping quality sense , 1997, J. Field Robotics.

[18]  R Bartlett,et al.  Inverse optimization: functional and physiological considerations related to the force-sharing problem. , 1997, Critical reviews in biomedical engineering.

[19]  J. Noth,et al.  Precision grip and Parkinson's disease. , 1998, Brain : a journal of neurology.

[20]  B. Salunkhe,et al.  Optimal grasping formulations that result in high quality and robust configurations , 1998 .

[21]  M. Latash,et al.  Force sharing among fingers as a model of the redundancy problem , 1998, Experimental Brain Research.

[22]  M. Wiesendanger,et al.  Grip-load force coordination in cerebellar patients , 1999, Experimental Brain Research.

[23]  A. Wing,et al.  Impaired anticipatory finger grip-force adjustments in a case of cerebellar degeneration , 1999, Experimental Brain Research.

[24]  J. Hermsdörfer,et al.  Prehension With the Ipsilesional Hand After Unilateral Brain Damage , 1999, Cortex.

[25]  A. Gordon,et al.  Fingertip forces during object manipulation in children with hemiplegic cerebral palsy. I: Anticipatory scaling , 1999, Developmental medicine and child neurology.

[26]  F. Valero-Cuevas Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range. , 2000, Journal of neurophysiology.

[27]  Hikaru Inooka,et al.  Characteristics of human fingertips in the shearing direction , 2000, Biological Cybernetics.

[28]  N K Fowler,et al.  Interphalangeal joint and tendon forces: normal model and biomechanical consequences of surgical reconstruction. , 2000, Journal of biomechanics.

[29]  J. Noth,et al.  Precision grip deficits in cerebellar disorders in man , 2001, Clinical Neurophysiology.

[30]  J. F. Soechting,et al.  Two virtual fingers in the control of the tripod grasp. , 2001, Journal of neurophysiology.

[31]  I. Stokes,et al.  Lumbar spinal muscle activation synergies predicted by multi-criteria cost function. , 2001, Journal of biomechanics.

[32]  K. J. Cole,et al.  Old age impairs the use of arbitrary visual cues for predictive control of fingertip forces during grasp , 2002, Experimental Brain Research.

[33]  S Glasauer,et al.  The effects of digital anaesthesia on predictive grip force adjustments during vertical movements of a grasped object , 2001, The European journal of neuroscience.

[34]  Sascha E. Engelbrecht,et al.  Minimum Principles in Motor Control. , 2001, Journal of mathematical psychology.

[35]  M. Latash,et al.  Force and torque production in static multifinger prehension: biomechanics and control. II. Control , 2002, Biological Cybernetics.

[36]  Vladimir M. Zatsiorsky,et al.  Force and torque production in static multifinger prehension: biomechanics and control. I. Biomechanics , 2002, Biological Cybernetics.

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

[38]  D. Nowak,et al.  Digit cooling influences grasp efficiency during manipulative tasks , 2003, European Journal of Applied Physiology.

[39]  Fan Gao,et al.  Finger force vectors in multi-finger prehension. , 2003, Journal of biomechanics.

[40]  M. Latash,et al.  Prehension Synergies , 2004, Exercise and sport sciences reviews.

[41]  Fan Gao,et al.  The principle of superposition in human prehension , 2004, Robotica.

[42]  Vladimir M. Zatsiorsky,et al.  Motor control goes beyond physics: differential effects of gravity and inertia on finger forces during manipulation of hand-held objects , 2005, Experimental Brain Research.

[43]  Fethi Ben Ouezdou,et al.  Muscle forces prediction of the human hand and forearm system in highly realistic simulation , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[44]  Vladimir M. Zatsiorsky,et al.  Finger coordination during moment production on a mechanically fixed object , 2004, Experimental Brain Research.

[45]  Todd C. Pataky,et al.  Prehension synergies during nonvertical grasping, II: Modeling and optimization , 2004, Biological Cybernetics.

[46]  Mark Latash,et al.  Tangential load sharing among fingers during prehension , 2004, Ergonomics.

[47]  Todd C. Pataky,et al.  Prehension synergies during nonvertical grasping, I: experimental observations , 2004, Biological Cybernetics.

[48]  Mark L Latash,et al.  Viscoelastic response of the finger pad to incremental tangential displacements. , 2005, Journal of biomechanics.

[49]  Joachim Hermsdörfer,et al.  Grip force behavior during object manipulation in neurological disorders: Toward an objective evaluation of manual performance deficits , 2005, Movement disorders : official journal of the Movement Disorder Society.

[50]  Todd C Pataky,et al.  Soft tissue strain energy minimization: a candidate control scheme for intra-finger normal-tangential force coordination. , 2005, Journal of biomechanics.

[51]  Domenico Prattichizzo,et al.  Does Torque Minimization Yield a Stable Human Grasp? , 2005, Multi-point Interaction with Real and Virtual Objects.

[52]  Kevin M. Lynch,et al.  Static single-arm force generation with kinematic constraints , 2005 .

[53]  Peter R. Francis,et al.  A comparison of prehension force control in young and elderly individuals , 1996, European Journal of Applied Physiology and Occupational Physiology.

[54]  Mark L Latash,et al.  Prehension synergies in the grasps with complex friction patterns: local versus synergic effects and the template control. , 2007, Journal of neurophysiology.

[55]  Walter Herzog,et al.  Model-based estimation of muscle forces exerted during movements. , 2007, Clinical biomechanics.

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

[57]  Tomoko Aoki,et al.  Adjustments to Local Friction in Multifinger Prehension , 2007, Journal of motor behavior.