Physiological Signals Quality in 6DoF Virtual Reality: Preliminary Results
Physiological data are increasingly used in Virtual Reality (VR) to analyze the user experience. However, when we move and interact in VR, the quality of physiological data is degraded. This study evaluates the impact of movements and sensor positions on signal quality. 3 positions for EDA and 2 for ECG have been compared on 36 subjects performing a series of different gestures in a within-subjects design. We observed that movements requiring the hand to be closed significantly degraded EDA signals, and that the palm position offered better robustness. For ECG, the position closest to the heart gave the best results.
Authors
- Melvin Blanchard (ORCID: https://orcid.org/0000-0002-0965-7338)
- Guillaume Lavoué (ORCID: https://orcid.org/0000-0003-3988-6702)
- Bertrand Massot (ORCID: https://orcid.org/0000-0001-8489-888X)
- Pierre Raimbaud (ORCID: https://orcid.org/0000-0002-5584-8100)
- Sophie Villenave (ORCID: https://orcid.org/0000-0002-6152-9800)
- Tristan Habémont
Institutions
- Université Claude Bernard Lyon 1 (FR)
- École Centrale de Lyon (FR)
- Centre National de la Recherche Scientifique (FR)
- École Nationale d'Ingénieurs de Saint-Étienne (FR)
- Institut des Nanotechnologies de Lyon (FR)
- Laboratoire d'Informatique en Images et Systèmes d'Information (FR)
- Institut National des Sciences Appliquées de Lyon (FR)
- École d'Ingénieurs en Chimie et Sciences du Numérique (FR)
Publication Details
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1109/vrw66409.2025.00358
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00