TY - GEN
T1 - Evaluating 3D Visual Fatigue Induced by VR Headset Using EEG and Self-attention CNN
AU - Hu, Haochen
AU - Liu, Yue
AU - Yue, Kang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 3D visual fatigue is one of the major factors that hinder the development of virtual reality contents towards larger population. We proposed an EEG-based self-attention CNN model to evaluate user's 3D visual fatigue in an end-to-end fashion. We adopted a wavelet-based convolution to extract spatiotemporal information and prevent overfitting. Besides, a self-attention layer was added to the feature extractor backbone to cope with the subject-variation problem in EEG-decoding. The proposed method is compared with four state-of-the-art methods, and the results demonstrate that our model has the best performance among all methods in subject-dependent and cross-subject scenarios.
AB - 3D visual fatigue is one of the major factors that hinder the development of virtual reality contents towards larger population. We proposed an EEG-based self-attention CNN model to evaluate user's 3D visual fatigue in an end-to-end fashion. We adopted a wavelet-based convolution to extract spatiotemporal information and prevent overfitting. Besides, a self-attention layer was added to the feature extractor backbone to cope with the subject-variation problem in EEG-decoding. The proposed method is compared with four state-of-the-art methods, and the results demonstrate that our model has the best performance among all methods in subject-dependent and cross-subject scenarios.
KW - HCI design and evaluation methods
KW - Human computer interaction (HCI)
KW - Human-centered computing
KW - People with disabilities
KW - Social and professional topics
KW - User characteristics
KW - User studies
UR - http://www.scopus.com/inward/record.url?scp=85129591385&partnerID=8YFLogxK
U2 - 10.1109/VRW55335.2022.00243
DO - 10.1109/VRW55335.2022.00243
M3 - Conference contribution
AN - SCOPUS:85129591385
T3 - Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
SP - 784
EP - 785
BT - Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
Y2 - 12 March 2022 through 16 March 2022
ER -