Literature DB >> 11110826

Visual and tactile information about object-curvature control fingertip forces and grasp kinematics in human dexterous manipulation.

P Jenmalm1, S Dahlstedt, R S Johansson.   

Abstract

Most objects that we manipulate have curved surfaces. We have analyzed how subjects during a prototypical manipulatory task use visual and tactile sensory information for adapting fingertip actions to changes in object curvature. Subjects grasped an elongated object at one end using a precision grip and lifted it while instructed to keep it level. The principal load of the grasp was tangential torque due to the location of the center of mass of the object in relation to the horizontal grip axis joining the centers of the opposing grasp surfaces. The curvature strongly influenced the grip forces required to prevent rotational slips. Likewise the curvature influenced the rotational yield of the grasp that developed under the tangential torque load due to the viscoelastic properties of the fingertip pulps. Subjects scaled the grip forces parametrically with object curvature for grasp stability. Moreover in a curvature-dependent manner, subjects twisted the grasp around the grip axis by a radial flexion of the wrist to keep the desired object orientation despite the rotational yield. To adapt these fingertip actions to object curvature, subjects could use both vision and tactile sensibility integrated with predictive control. During combined blindfolding and digital anesthesia, however, the motor output failed to predict the consequences of the prevailing curvature. Subjects used vision to identify the curvature for efficient feedforward retrieval of grip force requirements before executing the motor commands. Digital anesthesia caused little impairment of grip force control when subjects had vision available, but the adaptation of the twist became delayed. Visual cues about the form of the grasp surface obtained before contact was used to scale the grip force, whereas the scaling of the twist depended on visual cues related to object movement. Thus subjects apparently relied on different visuomotor mechanisms for adaptation of grip force and grasp kinematics. In contrast, blindfolded subjects used tactile cues about the prevailing curvature obtained after contact with the object for feedforward adaptation of both grip force and twist. We conclude that humans use both vision and tactile sensibility for feedforward parametric adaptation of grip forces and grasp kinematics to object curvature. Normal control of the twist action, however, requires digital afferent input, and different visuomotor mechanisms support the control of the grasp twist and the grip force. This differential use of vision may have a bearing to the two-stream model of human visual processing.

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Year:  2000        PMID: 11110826     DOI: 10.1152/jn.2000.84.6.2984

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  32 in total

1.  Predictions specify reactive control of individual digits in manipulation.

Authors:  Yukari Ohki; Benoni B Edin; Roland S Johansson
Journal:  J Neurosci       Date:  2002-01-15       Impact factor: 6.167

2.  Eye-hand coordination in object manipulation.

Authors:  R S Johansson; G Westling; A Bäckström; J R Flanagan
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

3.  Encoding of direction of fingertip forces by human tactile afferents.

Authors:  I Birznieks; P Jenmalm; A W Goodwin; R S Johansson
Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

4.  Selective use of visual information signaling objects' center of mass for anticipatory control of manipulative fingertip forces.

Authors:  Iran Salimi; Wendy Frazier; Ralf Reilmann; Andrew M Gordon
Journal:  Exp Brain Res       Date:  2003-03-21       Impact factor: 1.972

5.  Proximal arm kinematics affect grip force-load force coordination.

Authors:  Billy C Vermillion; Peter S Lum; Sang Wook Lee
Journal:  J Neurophysiol       Date:  2015-08-19       Impact factor: 2.714

6.  Representation of object size in the somatosensory system.

Authors:  L J Berryman; J M Yau; S S Hsiao
Journal:  J Neurophysiol       Date:  2006-04-26       Impact factor: 2.714

7.  Threshold control of motor actions prevents destabilizing effects of proprioceptive delays.

Authors:  Jean-François Pilon; Anatol G Feldman
Journal:  Exp Brain Res       Date:  2006-05-05       Impact factor: 1.972

8.  Threshold control of arm posture and movement adaptation to load.

Authors:  Martin Foisy; Anatol G Feldman
Journal:  Exp Brain Res       Date:  2006-07-18       Impact factor: 1.972

9.  Neurophysiology of prehension. II. Response diversity in primary somatosensory (S-I) and motor (M-I) cortices.

Authors:  Esther P Gardner; Jin Y Ro; K Srinivasa Babu; Soumya Ghosh
Journal:  J Neurophysiol       Date:  2006-11-08       Impact factor: 2.714

10.  Neurophysiology of prehension. III. Representation of object features in posterior parietal cortex of the macaque monkey.

Authors:  Esther P Gardner; K Srinivasa Babu; Soumya Ghosh; Adam Sherwood; Jessie Chen
Journal:  J Neurophysiol       Date:  2007-10-17       Impact factor: 2.714

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