TY - GEN
T1 - EEG-Based VR Scene Adaptive Generation System for Regulating Emotion
AU - Liang, Hui
AU - Liu, Shi Qing
AU - Wang, Yi
AU - Pan, Junjun
AU - Fu, Jialin
AU - Yuan, Yingkai
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Research based on electroencephalogram (EEG) and virtual reality (VR) has developed rapidly in recent years. The integration of EEG and VR technology has been broadly employed in psychological intervention to treat various psychological conditions and alleviate stress. At present, there exist commercial-level EEG emotion recognition products, however, research on the correlation between the content of VR scenarios and emotions remains unavailable. Therefore, this work investigates VR scene construction based on EEG, which incorporates the recovery environment theory and virtual reality technology to construct different three-dimensional dynamic virtual reality interaction scenes. EEG equipment constructs an emotion-adaptive VR system based on EEG signals with the aid of VR interaction equipment. Herein, EEG data feedback was applied to automatically generate VR scenes, and the experimental findings revealed that the system has certain feasibility and application value.
AB - Research based on electroencephalogram (EEG) and virtual reality (VR) has developed rapidly in recent years. The integration of EEG and VR technology has been broadly employed in psychological intervention to treat various psychological conditions and alleviate stress. At present, there exist commercial-level EEG emotion recognition products, however, research on the correlation between the content of VR scenarios and emotions remains unavailable. Therefore, this work investigates VR scene construction based on EEG, which incorporates the recovery environment theory and virtual reality technology to construct different three-dimensional dynamic virtual reality interaction scenes. EEG equipment constructs an emotion-adaptive VR system based on EEG signals with the aid of VR interaction equipment. Herein, EEG data feedback was applied to automatically generate VR scenes, and the experimental findings revealed that the system has certain feasibility and application value.
KW - electroencephalogram
KW - emotional regulation
KW - virtual reality
KW - virtual scene
UR - https://www.scopus.com/pages/publications/85166365602
U2 - 10.1109/ICVR57957.2023.10169325
DO - 10.1109/ICVR57957.2023.10169325
M3 - 会议稿件
AN - SCOPUS:85166365602
T3 - 2023 9th International Conference on Virtual Reality, ICVR 2023
SP - 361
EP - 368
BT - 2023 9th International Conference on Virtual Reality, ICVR 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Virtual Reality, ICVR 2023
Y2 - 12 May 2023 through 14 May 2023
ER -