Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue

doi:10.1109/JBHI.2022.3161083

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue
	Yue, Kang 3; Guo, Mei 3; Liu, Yue 2,3; Hu, Haochen 3; Lu, Kai 3; Chen, Shanshan 3; Wang, Danli 1
刊名	IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
	2022-07-01
卷号	26 期号:7 页码:2963-2973
关键词	Visualization Electroencephalography Fatigue Stereo image processing Shape Task analysis Electrodes Depth perception depth-related visual evoked potential self-awareness stereoscopic visual fatigue virtual reality
ISSN号	2168-2194
DOI	10.1109/JBHI.2022.3161083
通讯作者	Liu, Yue(liuyue@bit.edu.cn)
英文摘要	Stereoscopic visual fatigue (SVF) due to prolonged immersion in the virtual environment can lead to negative user experience, thus hindering the development of virtual reality (VR) industry. Previous studies have focused on investigating the evaluation indicators associated with SVF, while few studies have been conducted to reveal the underlying neural mechanism, especially in VR applications. In this paper, a modified Go/NoGo paradigm was adopted to induce SVF in VR environment with Go trials for maintaining participants' attention and NoGo trials for investigating the neural effects under SVF. Random dot stereograms (RDSs) with 11 disparities were presented to evoke the depth-related visual evoked potentials (DVEPs) during 64-channel EEG recordings. EEG datasets collected from 15 participants in NoGo trials were selected to conduct individual processing and group analysis, in which the characteristics of the DVEPs components for various fatigue degrees were compared and independent components were clustered to explore the original cortex areas related to SVF. Point-by-point permutation statistics revealed that DVEPs sample points from 230 ms to 280 ms (component P2) in most brain areas changed significantly when SVF increased. Additionally, independent component analysis (ICA) identified that component P2 which originated from posterior cingulate cortex and precuneus, was associated statistically with SVF. We believe that SVF is rather a conscious status concerning the changes of self-awareness or self-location awareness than the performance reduction of retinal image processing. Moreover, we suggest that indicators representing higher conscious state may be a better indicator for SVF evaluation in VR environments.
资助项目	Key-Area Research and Development Program of Guangdong Province[2019B010149001] ; National Natural Science Foundation of China[61960206007] ; National Natural Science Foundation of China[62007001] ; 111 Project[B18005]
WOS关键词	RANDOM-DOT STEREOGRAMS ; EVOKED-POTENTIALS ; MOTION-ONSET ; ELECTROPHYSIOLOGICAL EVIDENCE ; DEPTH ; 3D ; PERCEPTION ; COMPONENTS ; AREAS ; EXERCISE
WOS研究方向	Computer Science ; Mathematical & Computational Biology ; Medical Informatics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000819832600014
资助机构	Key-Area Research and Development Program of Guangdong Province ; National Natural Science Foundation of China ; 111 Project
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/49176]
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	Liu, Yue
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Beijing Film Acad, Adv Innovat Ctr Future Visual Entertainment AICFV, Beijing 100088, Peoples R China 3.Beijing Inst Technol, Sch Opt & Photon, Beijing Engn Res Ctr Mixed Real & Adv Display, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Yue, Kang,Guo, Mei,Liu, Yue,et al. Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2022,26(7):2963-2973.
APA	Yue, Kang.,Guo, Mei.,Liu, Yue.,Hu, Haochen.,Lu, Kai.,...&Wang, Danli.(2022).Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,26(7),2963-2973.
MLA	Yue, Kang,et al."Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 26.7(2022):2963-2973.