RT Journal Article
SR Electronic
T1 A Methodological Framework to Assess the Accuracy of Virtual Reality Hand-Tracking Systems: A case study with the Oculus Quest 2
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.02.18.481001
DO 10.1101/2022.02.18.481001
A1 Diar Abdlkarim
A1 Massimiliano Di Luca
A1 Poppy Aves
A1 Sang-Hoon Yeo
A1 R. Chris Miall
A1 Peter Holland
A1 Joseph M. Galea
YR 2022
UL http://biorxiv.org/content/early/2022/02/20/2022.02.18.481001.abstract
AB 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 StatementThe authors have declared no competing interest.