Literature DB >> 16217646

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

Yaoping Hu1, Rieko Osu, Masato Okada, Melvyn A Goodale, Mitsuo Kawato.   

Abstract

It has been repeatedly demonstrated that the opening between the index finger and thumb (grasp component) during an object-directed reach-to-grasp movement achieves maximum aperture approximately two-thirds of the way through the duration of the reaching movement (transport component). Here we offer a quantitative model of the temporal coupling between grip aperture and wrist velocity which shows experimentally that the correlation between grip aperture and object size is a sigmoidal function of movement duration. When wrist velocity reaches its peak value, the correlation between the grip aperture and the size of the goal object has reached half of the correlation that is achieved by the end of the movement.

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Year:  2005        PMID: 16217646     DOI: 10.1007/s00221-005-0111-1

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


  11 in total

Review 1.  A new view on grasping.

Authors:  J B Smeets; E Brenner
Journal:  Motor Control       Date:  1999-07       Impact factor: 1.422

2.  A simple rule of thumb for elegant prehension.

Authors:  M Mon-Williams; J R Tresilian
Journal:  Curr Biol       Date:  2001-07-10       Impact factor: 10.834

Review 3.  Posture-based motion planning: applications to grasping.

Authors:  D A Rosenbaum; R J Meulenbroek; J Vaughan; C Jansen
Journal:  Psychol Rev       Date:  2001-10       Impact factor: 8.934

4.  Models of Trajectory Formation and Temporal Interaction of Reach and Grasp.

Authors:  B. Hoff; M. A. Arbib
Journal:  J Mot Behav       Date:  1993-09       Impact factor: 1.328

5.  The timing of natural prehension movements.

Authors:  M Jeannerod
Journal:  J Mot Behav       Date:  1984-09       Impact factor: 1.328

6.  Factors affecting higher-order movement planning: a kinematic analysis of human prehension.

Authors:  L S Jakobson; M A Goodale
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

7.  Near, far, or in between?-Target edges and the transport component of prehension.

Authors:  P Servos; L S Jakobson; M A Goodale
Journal:  J Mot Behav       Date:  1998-03       Impact factor: 1.328

8.  Signal-dependent noise determines motor planning.

Authors:  C M Harris; D M Wolpert
Journal:  Nature       Date:  1998-08-20       Impact factor: 49.962

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

Authors:  R G Meulenbroek; D A Rosenbaum; C Jansen; J Vaughan; S Vogt
Journal:  Exp Brain Res       Date:  2001-05       Impact factor: 1.972

10.  The assessment and analysis of handedness: the Edinburgh inventory.

Authors:  R C Oldfield
Journal:  Neuropsychologia       Date:  1971-03       Impact factor: 3.139

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  6 in total

1.  Parallels in control of voluntary and perturbation-evoked reach-to-grasp movements: EMG and kinematics.

Authors:  William H Gage; Karl F Zabjek; Stephen W Hill; William E McIlroy
Journal:  Exp Brain Res       Date:  2007-05-09       Impact factor: 1.972

2.  Joint angles and angular velocities and relevance of eigenvectors during prehension in the monkey.

Authors:  Jodi F Prosise; Claudia M Hendrix; Timothy J Ebner
Journal:  Exp Brain Res       Date:  2014-10-18       Impact factor: 1.972

Review 3.  A Survey of Multifingered Robotic Manipulation: Biological Results, Structural Evolvements, and Learning Methods.

Authors:  Yinlin Li; Peng Wang; Rui Li; Mo Tao; Zhiyong Liu; Hong Qiao
Journal:  Front Neurorobot       Date:  2022-04-27       Impact factor: 3.493

4.  Online kinematic regulation by visual feedback for grasp versus transport during reach-to-pinch.

Authors:  Raviraj Nataraj; Cristian Pasluosta; Zong-Ming Li
Journal:  Hum Mov Sci       Date:  2014-06-24       Impact factor: 2.161

5.  Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps.

Authors:  Alessandro Scano; Andrea Chiavenna; Lorenzo Molinari Tosatti; Henning Müller; Manfredo Atzori
Journal:  Front Neurorobot       Date:  2018-09-25       Impact factor: 2.650

6.  A kinematic and EMG dataset of online adjustment of reach-to-grasp movements to visual perturbations.

Authors:  Mariusz P Furmanek; Madhur Mangalam; Mathew Yarossi; Kyle Lockwood; Eugene Tunik
Journal:  Sci Data       Date:  2022-01-21       Impact factor: 6.444

  6 in total

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