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

doi:10.1101/2022.02.18.481001

New Results

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;

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Diar Abdlkarim
For correspondence: diarkarim@gmail.com

Massimiliano Di Luca

1University of Birmingham;

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Massimiliano Di Luca

Poppy Aves

1University of Birmingham;

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Sang-Hoon Yeo

1University of Birmingham;

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Sang-Hoon Yeo

R. Chris Miall

1University of Birmingham;

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for R. Chris Miall

Peter Holland

2Goldsmiths University

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Joseph M. Galea

1University of Birmingham;

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Joseph M. Galea

Abstract
Full Text
Info/History
Metrics
Data/Code
Preview PDF

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

View the discussion thread.

PreviousNext

Posted February 20, 2022.

Download PDF

Data/Code

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

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

Message Subject (Your Name) has forwarded a page to you from bioRxiv

Message Body (Your Name) thought you would like to see this page from the bioRxiv website.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

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

Share This Article:

Citation Tools

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

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

Tweet Widget
Facebook Like
Google Plus One

Subject Area

Neuroscience

Subject Areas

All Articles

Animal Behavior and Cognition (4838)
Biochemistry (10739)
Bioengineering (8016)
Bioinformatics (27191)
Biophysics (13941)
Cancer Biology (11085)
Cell Biology (15991)
Clinical Trials (138)
Developmental Biology (8758)
Ecology (13245)
Epidemiology (2067)
Evolutionary Biology (17322)
Genetics (11666)
Genomics (15887)
Immunology (10994)
Microbiology (26002)
Molecular Biology (10608)
Neuroscience (56362)
Paleontology (417)
Pathology (1728)
Pharmacology and Toxicology (2999)
Physiology (4530)
Plant Biology (9592)
Scientific Communication and Education (1610)
Synthetic Biology (2671)
Systems Biology (6960)
Zoology (1507)