Investigate the 3D Visual Fatigue Using Modified Depth-Related Visual Evoked Potential Paradigm

doi:10.1109/TNSRE.2021.3049566

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Investigate the 3D Visual Fatigue Using Modified Depth-Related Visual Evoked Potential Paradigm
	Yue, Kang1,2 ; Wang, Danli 1; Chiu, Steve C.3; Liu, Yue2,4
发表期刊	IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
ISSN	1534-4320
	2020-12-01
卷号	28 期号:12 页码:2794-2804
通讯作者	Wang, Danli(danli.wang@ia.ac.cn)
摘要	Prolonged viewing of 3D content may result in severe fatigue symptoms, giving negative user experience thus hindering the development of 3D industry. For 3D visual fatigue evaluation, previous studies focused on exploring the changes of frequency-domain features in EEG for various fatigue degrees. However, their time-domain features were scarcely investigated. In this study, a modified paradigm with a random disparities order is adopted to evoke the depth-related visual evoked potentials (DVEPs). Then the characteristics of the DVEPs components for various fatigue degrees are compared using one-way repeated-measurement ANOVA. Point-by-point permutation statistics revealed sample points from 100ms to 170ms - including P1 and N1 - in sensors Pz and P4 changed significantly with visual fatigue. More specifically, we find that the amplitudes of P1 and N1 change significantly when visual fatigue increases. Additionally, independent component analysis identify P1 and N1 which originate from posterior cingulate cortex are associated statistically with 3D visual fatigue. Our results indicate there is a significant correlation between 3D visual fatigue and P1 amplitude, as well as N1, of DVEPs on right parietal areas. We believe the characteristics (e.g., amplitude and latency) of identified components may be the indicators of 3D visual fatigue evaluation. Furthermore, we argue that 3D visual fatigue may be associated with the activities decrease of the attention and the processing capacity of disparity.
关键词	Fatigue Three-dimensional displays Visualization Electroencephalography Two dimensional displays Time-domain analysis Neural activity EEG visual fatigue visual evoked potential three-dimension
DOI	10.1109/TNSRE.2021.3049566
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program[2016YFB0401202] ; National Natural Science Foundation of China[61672507] ; National Natural Science Foundation of China[61272325] ; National Natural Science Foundation of China[61501463] ; National Natural Science Foundation of China[61562063]
项目资助者	National Key Research and Development Program ; National Natural Science Foundation of China
WOS研究方向	Engineering ; Rehabilitation
WOS类目	Engineering, Biomedical ; Rehabilitation
WOS记录号	WOS:000613615700021
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	人工智能+医疗
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42871
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Wang, Danli
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Beijing Inst Technol, Sch Opt & Photon, Beijing 100081, Peoples R China 3.Idaho State Univ, ECE Dept, Pocatello, ID 83209 USA 4.AICFVE Beijing Film Acad, Beijing 100088, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yue, Kang,Wang, Danli,Chiu, Steve C.,et al. Investigate the 3D Visual Fatigue Using Modified Depth-Related Visual Evoked Potential Paradigm[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2020,28(12):2794-2804.
APA	Yue, Kang,Wang, Danli,Chiu, Steve C.,&Liu, Yue.(2020).Investigate the 3D Visual Fatigue Using Modified Depth-Related Visual Evoked Potential Paradigm.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,28(12),2794-2804.
MLA	Yue, Kang,et al."Investigate the 3D Visual Fatigue Using Modified Depth-Related Visual Evoked Potential Paradigm".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 28.12(2020):2794-2804.