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