Literature DB >> 33774688

Control of aperture closure during reach-to-grasp movements in immersive haptic-free virtual reality.

Madhur Mangalam1, Mathew Yarossi2,3, Mariusz P Furmanek2,4, Eugene Tunik2,3,5.   

Abstract

Virtual reality (VR) has garnered much interest as a training environment for motor skill acquisition, including for neurological rehabilitation of upper extremities. While the focus has been on gross upper limb motion, VR applications that involve reaching for, and interacting with, virtual objects are growing. The absence of true haptics in VR when it comes to hand-object interactions raises a fundamentally important question: can haptic-free immersive virtual environments (hf-VEs) support naturalistic coordination of reach-to-grasp movements? This issue has been grossly understudied, and yet is of significant importance in the development and application of VR across a number of sectors. In a previous study (Furmanek et al., J Neuroeng Rehabil 16:78, 2019), we reported that reach-to-grasp movements are similarly coordinated in both the physical environment (PE) and hf-VE. The most noteworthy difference was that the closure phase-which begins at maximum aperture and lasts through the end of the movement-was longer in hf-VE than in PE, suggesting that different control laws might govern the initiation of closure between the two environments. To do so, we reanalyzed data from Furmanek et al. (J Neuroeng Rehabil 16:78, 2019), in which the participants reached to grasp three differently sized physical objects, and matching 3D virtual object renderings, placed at three different locations. Our analysis revealed two key findings pertaining to the initiation of closure in PE and hf-VE. First, the respective control laws governing the initiation of aperture closure in PE and hf-VE both included state estimates of transport velocity and acceleration, supporting a general unified control policy for implementing reach-to-grasp across physical and virtual environments. Second, the aperture was less informative to the control law in hf-VE. We suggest that the latter was likely because transport velocity at closure onset and aperture at closure onset were less independent in hf-VE than in PE, ultimately resulting in an aperture at closure onset having a weaker influence on the initiation of closure. In this way, the excess time and muscular effort needed to actively bring the fingers to a stop at the interface of a virtual object was factored into the control law governing the initiation of closure in hf-VE. Critically, this control law remained applicable, albeit with different weights in hf-VE, despite the absence of terminal haptic feedback and potential perceptual differences.

Entities:  

Keywords:  Collision detection; Coordination; Haptic feedback; Prehension; Rehabilitation; Virtual environment

Year:  2021        PMID: 33774688     DOI: 10.1007/s00221-021-06079-8

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


  27 in total

1.  The information capacity of the human motor system in controlling the amplitude of movement.

Authors:  P M FITTS
Journal:  J Exp Psychol       Date:  1954-06

2.  Natural prehension in trials without haptic feedback but only when calibration is allowed.

Authors:  Geoffrey Bingham; Rachel Coats; Mark Mon-Williams
Journal:  Neuropsychologia       Date:  2006-10-11       Impact factor: 3.139

3.  Depth perception in virtual reality: distance estimations in peri- and extrapersonal space.

Authors:  C Armbrüster; M Wolter; T Kuhlen; W Spijkers; B Fimm
Journal:  Cyberpsychol Behav       Date:  2008-02

4.  Influence of different types of grasping on the transport component of prehension movements.

Authors:  M Gentilucci; U Castiello; M L Corradini; M Scarpa; C Umiltà; G Rizzolatti
Journal:  Neuropsychologia       Date:  1991       Impact factor: 3.139

5.  Calibrating grasp size and reach distance: interactions reveal integral organization of reaching-to-grasp movements.

Authors:  Rachel Coats; Geoffrey P Bingham; Mark Mon-Williams
Journal:  Exp Brain Res       Date:  2008-05-21       Impact factor: 1.972

6.  Multiple correlations and Bonferroni's correction.

Authors:  F Curtin; P Schulz
Journal:  Biol Psychiatry       Date:  1998-10-15       Impact factor: 13.382

7.  Why do the eyes prefer the index finger? Simultaneous recording of eye and hand movements during precision grasping.

Authors:  Cristiana Cavina-Pratesi; Constanze Hesse
Journal:  J Vis       Date:  2013-04-18       Impact factor: 2.240

8.  The speed-accuracy trade-off in manual prehension: effects of movement amplitude, object size and object width on kinematic characteristics.

Authors:  R J Bootsma; R G Marteniuk; C L MacKenzie; F T Zaal
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

9.  Coordination of reach-to-grasp in physical and haptic-free virtual environments.

Authors:  Mariusz P Furmanek; Luis F Schettino; Mathew Yarossi; Sofia Kirkman; Sergei V Adamovich; Eugene Tunik
Journal:  J Neuroeng Rehabil       Date:  2019-06-27       Impact factor: 4.262

10.  How vision affects kinematic properties of pantomimed prehension movements.

Authors:  Takao Fukui; Toshio Inui
Journal:  Front Psychol       Date:  2013-02-07
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  1 in total

1.  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

  1 in total

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