Communication Dans Un Congrès Année : 2025

Physiological Signals Quality in 6DoF Virtual Reality: Preliminary Results

Résumé

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.

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Dates et versions

hal-05049718 , version 1 (28-04-2025)

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Matthieu Blanchard, Sophie Villenave, Tristan Habémont, Bertrand Massot, Pierre Raimbaud, et al.. Physiological Signals Quality in 6DoF Virtual Reality: Preliminary Results. 32nd IEEE Conference on Virtual Reality and 3D User Interfaces (VRW 2025), Mar 2025, Saint Malo, France. pp.1424-1425, ⟨10.1109/VRW66409.2025.00358⟩. ⟨hal-05049718⟩
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