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A Methodological Framework to Assess the Accuracy of Virtual Reality Hand-Tracking Systems: A case study with the Oculus Quest 2

View ORCID ProfileDiar Abdlkarim, View ORCID ProfileMassimiliano Di Luca, Poppy Aves, View ORCID ProfileSang-Hoon Yeo, View ORCID ProfileR. Chris Miall, Peter Holland, View ORCID ProfileJoseph M. Galea
doi: https://doi.org/10.1101/2022.02.18.481001
Diar Abdlkarim
1University of Birmingham;
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  • For correspondence: diarkarim@gmail.com
Massimiliano Di Luca
1University of Birmingham;
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Poppy Aves
1University of Birmingham;
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Sang-Hoon Yeo
1University of Birmingham;
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R. Chris Miall
1University of Birmingham;
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Peter Holland
2Goldsmiths University
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Joseph M. Galea
1University of Birmingham;
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Abstract

Optical marker-less hand-tracking systems incorporated into virtual reality (VR) headsets are transforming the ability to assess motor skills, including hand movements, in VR. This promises to have far-reaching implications for the increased applicability of VR across scientific, industrial and clinical settings. However, so far, there is little data regarding the accuracy, delay and overall performance of these types of hand-tracking systems. Here we present a novel methodological framework which can be easily applied to measure these systems’ absolute positional error, temporal delay and finger joint-angle accuracy. We used this framework to evaluate the Meta Quest 2 hand-tracking system. Our results showed an average fingertip positional error of 1.1cm, an average finger joint angle error of 9.6o and an average temporal delay of 38.0ms. Finally, a novel approach was developed to correct for these positional errors based on a lens distortion model. This methodological framework provides a powerful tool to ensure the reliability and validity of data originating from VR-based, marker-less hand-tracking systems.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* joint-last authors

  • Diar Abdlkarim, School of Psychology, University of Birmingham, Birmingham, UK, Tel.: +44 (0)121 414 4932, E-mail: diarkarim{at}gmail.com, https://diarkarim.com/

  • Peter Holland, Department of Psychology, Goldsmiths, University of London, London, UK Tel: +44 (0)20 7919 7294, School of Psychology, University of Birmingham, Birmingham, UK Tel.: +44 (0)121 414 4932, E-mail: peter.holland{at}gold.ac.uk

  • https://github.com/DiarKarim/MetaOculusQuestPerformance.git

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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A Methodological Framework to Assess the Accuracy of Virtual Reality Hand-Tracking Systems: A case study with the Oculus Quest 2
Diar Abdlkarim, Massimiliano Di Luca, Poppy Aves, Sang-Hoon Yeo, R. Chris Miall, Peter Holland, Joseph M. Galea
bioRxiv 2022.02.18.481001; doi: https://doi.org/10.1101/2022.02.18.481001
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A Methodological Framework to Assess the Accuracy of Virtual Reality Hand-Tracking Systems: A case study with the Oculus Quest 2
Diar Abdlkarim, Massimiliano Di Luca, Poppy Aves, Sang-Hoon Yeo, R. Chris Miall, Peter Holland, Joseph M. Galea
bioRxiv 2022.02.18.481001; doi: https://doi.org/10.1101/2022.02.18.481001

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