Literature DB >> 19665551

Influence of haptic guidance in learning a novel visuomotor task.

Edwin H F van Asseldonk1, Martijn Wessels, Arno H A Stienen, Frans C T van der Helm, Herman van der Kooij.   

Abstract

In (re)learning of movements, haptic guidance can be used to direct the needed adaptations in motor control. Haptic guidance influences the main driving factors of motor adaptation, execution error, and control effort in different ways. Human-control effort is dissipated in the interactions that occur during haptic guidance. Minimizing the control effort would reduce the interaction forces and result in adaptation. However, guidance also decreases the magnitude of the execution errors, which could inhibit motor adaptation. The aim of this study was to assess how different types of haptic guidance affect kinematic adaptation in a novel visuomotor task. Five groups of subjects adapted to a reaching task in which the visual representation of the hand was rotated 30 degrees. Each group was guided by a different force field. The force fields differed in magnitude and direction in order to discern the adaptation based on execution errors and control effort. The results demonstrated that the execution error did indeed play a key role in adaptation. The more the guiding forces restricted the occurrence of execution errors, the smaller the amount and rate of adaptation. However, the force field that enlarged the execution errors did not result in an increased rate of adaptation. The presence of a small amount of adaptation in the groups who did not experience execution errors during training suggested that adaptation could be driven on a much slower rate and on the basis of minimization of control effort as was evidenced by a gradual decrease of the interaction forces during training. Remarkably, also in the group in which the subjects were passive and completely guided, a small but significant adaptation occurred. The conclusion is that both minimization of execution errors and control effort drives kinematic adaptation in a novel visuomotor task, but the latter at a much slower rate.

Entities:  

Mesh:

Year:  2009        PMID: 19665551     DOI: 10.1016/j.jphysparis.2009.08.010

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  18 in total

1.  Adaptation to novel visuo-motor transformations: further evidence of functional haptic neglect.

Authors:  Herbert Heuer; Katrin Rapp
Journal:  Exp Brain Res       Date:  2012-02-11       Impact factor: 1.972

2.  Breaking it down is better: haptic decomposition of complex movements aids in robot-assisted motor learning.

Authors:  Julius Klein; Steven J Spencer; David J Reinkensmeyer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-04-18       Impact factor: 3.802

3.  Haptic guidance interferes with learning to make movements at an angle to stimulus direction.

Authors:  Herbert Heuer; Katrin Rapp
Journal:  Exp Brain Res       Date:  2013-11-26       Impact factor: 1.972

4.  Financial incentives enhance adaptation to a sensorimotor transformation.

Authors:  Kathrin Gajda; Sandra Sülzenbrück; Herbert Heuer
Journal:  Exp Brain Res       Date:  2016-06-06       Impact factor: 1.972

5.  A spatial explicit strategy reduces error but interferes with sensorimotor adaptation.

Authors:  Bryan L Benson; Joaquin A Anguera; Rachael D Seidler
Journal:  J Neurophysiol       Date:  2011-03-30       Impact factor: 2.714

6.  Design and Validation of a Lower-Limb Haptic Rehabilitation Robot.

Authors:  Alexander R Dawson-Elli; Peter G Adamczyk
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07       Impact factor: 3.802

7.  Perturbation schedule does not alter retention of a locomotor adaptation across days.

Authors:  Sara J Hussain; Susanne M Morton
Journal:  J Neurophysiol       Date:  2014-03-19       Impact factor: 2.714

8.  Motor learning with fading and growing haptic guidance.

Authors:  Herbert Heuer; Jenna Lüttgen
Journal:  Exp Brain Res       Date:  2014-04-16       Impact factor: 1.972

9.  Adaptation of multijoint coordination during standing balance in healthy young and healthy old individuals.

Authors:  D Engelhart; J H Pasma; A C Schouten; R G K M Aarts; C G M Meskers; A B Maier; H van der Kooij
Journal:  J Neurophysiol       Date:  2015-12-30       Impact factor: 2.714

10.  Patient-cooperative control increases active participation of individuals with SCI during robot-aided gait training.

Authors:  Alexander Duschau-Wicke; Andrea Caprez; Robert Riener
Journal:  J Neuroeng Rehabil       Date:  2010-09-10       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.