Effect of Virtual Reality on Fear Emotion Base on EEG Signals Analysis

Abstract

Virtual Reality (VR), which becomes more and more common in daily life, can affect human's emotion with its special visual environment. VR has been a tool to study emotion in psychology. At the same time, the study of emotion requires an objective indicator to avoid subjective judgment. One of the methods is to measure the EEG of humans, which reflects the real situation of the brain. In order to study the effects of VR on fear emotion, we conducted EEG data collection based on the VR roller coaster scene to stimulate fear. However, there exists severe artifacts in EEG data especially when the tester is opening eyes, which blocks the correct analysis of EEG. In this paper, we propose a new artifacts removal algorithm, named WpdAI-ICA, which performs better than relevant methods. With the recovered EEG data, we compare and analyze it in time and frequency domains, and show how VR affect emotion.