A methodological framework to assess the accuracy of virtual reality hand-tracking systems: A case study with the Meta Quest 2

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Abdlkarim, Diar; Di Luca, Massimiliano; Aves, Poppy; Maaroufi, Mohamed; Yeo, Sang-Hoon; Miall, R. Chris; Holland, Peter and Galea, Joeseph M.. 2024. A methodological framework to assess the accuracy of virtual reality hand-tracking systems: A case study with the Meta Quest 2. Behavior Research Methods, 56(2), pp. 1052-1063. ISSN 1554-3528 [Article]

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Official URL: https://doi.org/10.3758/s13428-022-02051-8

Abstract or Description

Optical markerless hand-tracking systems incorporated into virtual reality (VR) headsets are transforming the ability to assess fine motor skills 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 are little data regarding the accuracy, delay, and overall performance of these types of hand-tracking systems. Here we present a novel methodological framework based on a fixed grid of targets, which can be easily applied to measure these systems’ absolute positional error and delay. We also demonstrate a method to assess 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 9.6∘ and an average temporal delay of 45.0 ms. This methodological framework provides a powerful tool to ensure the reliability and validity of data originating from VR-based, markerless hand-tracking systems.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.3758/s13428-022-02051-8

Data Access Statement:

All data and materials for all experiments are available at this-repository: https://github.com/DiarKarim/MetaOculusQuestPerformance.git

Keywords:

Hand-tracking, Virtual reality, Metaverse, Tracking precision, VR delay

Departments, Centres and Research Units:

Psychology

Dates: