Physiological Signals Quality in 6DoF Virtual Reality: Preliminary Results
Year: 2025
Type: conference-paper
Abstract: 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.
Institutions: Lyon 1 Université, École Centrale de Lyon, Centre National de la Recherche Scientifique, Centrale Lyon ENISE, Laboratoire d'Informatique en Images et Systèmes d'Information, Institut National des Sciences Appliquées de Lyon, Institut des Nanotechnologies de Lyon, École d'Ingénieurs en Chimie et Sciences du Numérique
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4409762373