Literature DB >> 11417463

Multijoint grasping movements. Simulated and observed effects of object location, object size, and initial aperture.

R G Meulenbroek1, D A Rosenbaum, C Jansen, J Vaughan, S Vogt.   

Abstract

Studies of human prehension have revealed characteristic patterns of grasping kinematics. We sought to gain insight into the determinants of those patterns by means of a computer simulation and accompanying behavioral experiment concerning multijoint, planar grasping behavior. The simulation was based on a recent theory of posture-based motion planning which hypothesizes that movement preparation entails time-limited, multiple task-constraint satisfaction. Prehension was modeled with a stick-figure animation involving 12 series of 81 grasping movements. Circular objects to be grasped were located at three angles (45 degrees, 90 degrees, and 135 degrees) and at three distances (20 cm, 30 cm, and 40 cm) relative to the initial location of the hand in the workplane. Additionally, three object sizes (2 cm, 4 cm, and 6 cm in diameter) and three initial aperture sizes (0.3 cm, 3.3 cm, and 7.0 cm) were used. Analyses of the simulated grasping movements focused on the time course of the hand opening, the tangential velocity of the wrist, and the rotations of the joints in the arm, hand, and fingers. The results showed that the model accurately mimicked detailed kinematics of prehension observed in earlier studies. With respect to the frequently reported relationship between object size and hand opening, the simulations further revealed an effect of initial aperture. This predicted effect was confirmed in an experiment in which four participants performed analogous planar grasping tasks. An analysis of the time course of the opening of the hand showed that maximum aperture covaried with initial aperture. A conclusion of this work is that a major determinant of grasping kinematics is avoidance of collisions with objects that are to be grasped.

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Year:  2001        PMID: 11417463     DOI: 10.1007/s002210100690

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  18 in total

1.  Can the motor system resolve a premovement bias in grip aperture? Online analysis of grasping the Müller-Lyer illusion.

Authors:  Matthew Heath; Christina Rival; Gordon Binsted
Journal:  Exp Brain Res       Date:  2004-07-27       Impact factor: 1.972

2.  Grasping an object naturally or with a tool: are these tasks guided by a common motor representation?

Authors:  Maurizio Gentilucci; Alice C Roy; Silvia Stefanini
Journal:  Exp Brain Res       Date:  2004-03-09       Impact factor: 1.972

3.  A model of the coupling between grip aperture and hand transport during human prehension.

Authors:  Yaoping Hu; Rieko Osu; Masato Okada; Melvyn A Goodale; Mitsuo Kawato
Journal:  Exp Brain Res       Date:  2005-11-15       Impact factor: 1.972

4.  Müller-Lyer figures influence the online reorganization of visually guided grasping movements.

Authors:  Matthew Heath; Christina Rival; Kristina Neely; Olav Krigolson
Journal:  Exp Brain Res       Date:  2005-11-16       Impact factor: 1.972

5.  Finger movements during reach-to-grasp in the monkey: amplitude scaling of a temporal synergy.

Authors:  Lalin S Theverapperuma; Claudia M Hendrix; Carolyn R Mason; Timothy J Ebner
Journal:  Exp Brain Res       Date:  2005-11-16       Impact factor: 1.972

6.  Peripheral vision for perception and action.

Authors:  Liana E Brown; Brooke A Halpert; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2005-06-07       Impact factor: 1.972

7.  Cognitive and biomechanical influences in pianists' finger tapping.

Authors:  Janeen D Loehr; Caroline Palmer
Journal:  Exp Brain Res       Date:  2006-11-09       Impact factor: 1.972

8.  The coordination patterns observed when two hands reach-to-grasp separate objects.

Authors:  Geoffrey P Bingham; Kirstie Hughes; Mark Mon-Williams
Journal:  Exp Brain Res       Date:  2007-08-29       Impact factor: 1.972

9.  Collision error avoidance: influence of proportion congruency and sensorimotor memory on open-loop grasp control.

Authors:  Ryan Brydges; Adam Dubrowski
Journal:  Exp Brain Res       Date:  2009-08-01       Impact factor: 1.972

10.  Biologically inspired modelling for the control of upper limb movements: from concept studies to future applications.

Authors:  Silvia Conforto; Ivan Bernabucci; Giacomo Severini; Maurizio Schmid; Tommaso D'Alessio
Journal:  Front Neurorobot       Date:  2009-11-17       Impact factor: 2.650

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