DOI
https://doi.org/10.25772/HAM9-WV74
Defense Date
2021
Document Type
Thesis
Degree Name
Master of Science
Department
Biomedical Engineering
First Advisor
Dean Krusienski
Abstract
Recent interest in high-performance virtual reality (VR) headsets has motivated research efforts to increase the user's sense of immersion via feedback of physiological measures. This work presents the use of electroencephalographic (EEG) measurements during observation of immersive VR videos to estimate the user's affective state. The EEG of 30 participants were recorded as each passively viewed a series of one minute immersive VR video clips and subjectively rated their level of valence, arousal, dominance, and liking. Correlates between EEG spectral bands and the subjective ratings were analyzed to identify statistically significant frequencies and electrode locations across participants. Model feasibility and performance was studied using stepwise regression and binary Support Vector Machine models. The model results indicate that scalp measurements of electrical activity can reliably estimate subjective scores of perceived affective states.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
8-12-2021
Included in
Bioelectrical and Neuroengineering Commons, Biomedical Devices and Instrumentation Commons