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

文献类型：期刊论文

作者Yue, Kang1,4; Wang, Danli1; Chiu, Steve C.3; Liu, Yue2,4
刊名IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
出版日期2020-12-01
卷号28期号:12页码:2794-2804
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
ISSN号1534-4320
DOI10.1109/TNSRE.2021.3049566
通讯作者Wang, Danli(danli.wang@ia.ac.cn)
英文摘要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.
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]
WOS研究方向Engineering ; Rehabilitation
语种英语
WOS记录号WOS:000613615700021
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/42870]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
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.AICFVE Beijing Film Acad, Beijing 100088, Peoples R China
3.Idaho State Univ, ECE Dept, Pocatello, ID 83209 USA
4.Beijing Inst Technol, Sch Opt & Photon, Beijing 100081, Peoples R China
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.

入库方式： OAI收割

来源：自动化研究所

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