Vanesa Herrera
Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible
Herrera, Vanesa; Reyes-Guzmán, Ana; Vallejo, David; Castro-Schez, José; Monekosso, Dorothy; Carlos, González-Morcillo; Albusac, Javier
Authors
Ana Reyes-Guzmán
David Vallejo
José Castro-Schez
Professor Dorothy Monekosso dorothy.monekosso@durham.ac.uk
Professor in Computer Science
González-Morcillo Carlos
Javier Albusac
Abstract
The creation of accessible spaces is essential for patients with motor injuries to conduct therapy safely and effectively. Disruptive technologies such as Virtual Reality (VR) are increasingly being used as a complement to traditional therapy, with excellent results. VR allows, among other things, the realistic recreation of physical spaces, so much so that it is relatively easy to run the risk of transferring physical barriers into the virtual space. This article proposes an innovative method of calibration in virtual environments that assesses the motor limitations of patients with cervical spinal cord injuries, doing so individually for each upper limb. The result is the dynamic adaptation of virtual environments to make them accessible and safe for rehabilitative therapy practices. This method has been integrated into the Rehab-Immersive platform, which hosts a series of serious games aimed at rehabilitating upper limbs, using immersive gamification techniques.
Citation
Herrera, V., Reyes-Guzmán, A., Vallejo, D., Castro-Schez, J., Monekosso, D., Carlos, G.-M., & Albusac, J. (2024, April). Advanced VR Calibration for Upper Limb Rehabilitation: Making Immersive Environments Accessible. Presented at 26th International Conference on Enterprise Information Systems, Angers, France
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 26th International Conference on Enterprise Information Systems |
Start Date | Apr 28, 2024 |
End Date | Apr 30, 2024 |
Acceptance Date | Feb 28, 2024 |
Publication Date | 2024-04 |
Deposit Date | May 28, 2024 |
Publicly Available Date | May 29, 2024 |
Volume | 2 |
Pages | 378-389 |
Series ISSN | 2184-4992 |
Book Title | Proceedings of the 26th International Conference on Enterprise Information Systems |
ISBN | 9789897586927 |
DOI | https://doi.org/10.5220/0012624600003690 |
Public URL | https://durham-repository.worktribe.com/output/2466728 |
Files
Published Conference Proceeding
(11 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
A review of ant algorithms
(2009)
Journal Article
Refined particle swarm intelligence method for abrupt motion tracking
(2014)
Journal Article
Crowd analysis: a survey
(2008)
Journal Article
Ant algorithms for image feature extraction
(2013)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search