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

BACKGROUND: Virtual reality (VR) offers unprecedented opportunity as a scientific tool to study visuomotor interactions, training, and rehabilitation applications. However, it remains unclear if haptic-free hand-object interactions in a virtual environment (VE) may differ from those performed in the...

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Autores principales: Furmanek, Mariusz P., Schettino, Luis F., Yarossi, Mathew, Kirkman, Sofia, Adamovich, Sergei V., Tunik, Eugene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598288/
https://www.ncbi.nlm.nih.gov/pubmed/31248426
http://dx.doi.org/10.1186/s12984-019-0525-9
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author Furmanek, Mariusz P.
Schettino, Luis F.
Yarossi, Mathew
Kirkman, Sofia
Adamovich, Sergei V.
Tunik, Eugene
author_facet Furmanek, Mariusz P.
Schettino, Luis F.
Yarossi, Mathew
Kirkman, Sofia
Adamovich, Sergei V.
Tunik, Eugene
author_sort Furmanek, Mariusz P.
collection PubMed
description BACKGROUND: Virtual reality (VR) offers unprecedented opportunity as a scientific tool to study visuomotor interactions, training, and rehabilitation applications. However, it remains unclear if haptic-free hand-object interactions in a virtual environment (VE) may differ from those performed in the physical environment (PE). We therefore sought to establish if the coordination structure between the transport and grasp components remain similar whether a reach-to-grasp movement is performed in PE and VE. METHOD: Reach-to-grasp kinematics were examined in 13 healthy right-handed young adults. Subjects were instructed to reach-to-grasp-to-lift three differently sized rectangular objects located at three different distances from the starting position. Object size and location were matched between the two environments. Contact with the virtual objects was based on a custom collision detection algorithm. Differences between the environments were evaluated by comparing movement kinematics of the transport and grasp components. RESULTS: Correlation coefficients, and the slope of the regression lines, between the reach and grasp components were similar for the two environments. Likewise, the kinematic profiles of the transport velocity and grasp aperture were strongly correlated across the two environments. A rmANOVA further identified some similarities and differences in the movement kinematics between the two environments - most prominently that the closure phase of reach-to-grasp movement was prolonged when movements were performed in VE. CONCLUSIONS: Reach-to-grasp movement patterns performed in a VE showed both similarities and specific differences compared to those performed in PE. Additionally, we demonstrate a novel approach for parsing the reach-to-grasp movement into three phases- initiation, shaping, closure- based on established kinematic variables, and demonstrate that the differences in performance between the environments are attributed to the closure phase. We discuss this in the context of how collision detection parameters may modify hand-object interactions in VE. Our study shows that haptic-free VE may be a useful platform to study reach-to-grasp movements, with potential implications for haptic-free VR in neurorehabilitation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12984-019-0525-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-65982882019-07-11 Coordination of reach-to-grasp in physical and haptic-free virtual environments Furmanek, Mariusz P. Schettino, Luis F. Yarossi, Mathew Kirkman, Sofia Adamovich, Sergei V. Tunik, Eugene J Neuroeng Rehabil Research BACKGROUND: Virtual reality (VR) offers unprecedented opportunity as a scientific tool to study visuomotor interactions, training, and rehabilitation applications. However, it remains unclear if haptic-free hand-object interactions in a virtual environment (VE) may differ from those performed in the physical environment (PE). We therefore sought to establish if the coordination structure between the transport and grasp components remain similar whether a reach-to-grasp movement is performed in PE and VE. METHOD: Reach-to-grasp kinematics were examined in 13 healthy right-handed young adults. Subjects were instructed to reach-to-grasp-to-lift three differently sized rectangular objects located at three different distances from the starting position. Object size and location were matched between the two environments. Contact with the virtual objects was based on a custom collision detection algorithm. Differences between the environments were evaluated by comparing movement kinematics of the transport and grasp components. RESULTS: Correlation coefficients, and the slope of the regression lines, between the reach and grasp components were similar for the two environments. Likewise, the kinematic profiles of the transport velocity and grasp aperture were strongly correlated across the two environments. A rmANOVA further identified some similarities and differences in the movement kinematics between the two environments - most prominently that the closure phase of reach-to-grasp movement was prolonged when movements were performed in VE. CONCLUSIONS: Reach-to-grasp movement patterns performed in a VE showed both similarities and specific differences compared to those performed in PE. Additionally, we demonstrate a novel approach for parsing the reach-to-grasp movement into three phases- initiation, shaping, closure- based on established kinematic variables, and demonstrate that the differences in performance between the environments are attributed to the closure phase. We discuss this in the context of how collision detection parameters may modify hand-object interactions in VE. Our study shows that haptic-free VE may be a useful platform to study reach-to-grasp movements, with potential implications for haptic-free VR in neurorehabilitation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12984-019-0525-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-27 /pmc/articles/PMC6598288/ /pubmed/31248426 http://dx.doi.org/10.1186/s12984-019-0525-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Furmanek, Mariusz P.
Schettino, Luis F.
Yarossi, Mathew
Kirkman, Sofia
Adamovich, Sergei V.
Tunik, Eugene
Coordination of reach-to-grasp in physical and haptic-free virtual environments
title Coordination of reach-to-grasp in physical and haptic-free virtual environments
title_full Coordination of reach-to-grasp in physical and haptic-free virtual environments
title_fullStr Coordination of reach-to-grasp in physical and haptic-free virtual environments
title_full_unstemmed Coordination of reach-to-grasp in physical and haptic-free virtual environments
title_short Coordination of reach-to-grasp in physical and haptic-free virtual environments
title_sort coordination of reach-to-grasp in physical and haptic-free virtual environments
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598288/
https://www.ncbi.nlm.nih.gov/pubmed/31248426
http://dx.doi.org/10.1186/s12984-019-0525-9
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