Investigating the neural activity of various 3D visual fatigue degrees using depth-related visual evoked potentials

doi:10.1002/jsid.977

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

	Investigating the neural activity of various 3D visual fatigue degrees using depth-related visual evoked potentials
	Yue, Kang 1,2,3; Wang, Danli 2,3
刊名	JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY
	2020-11-26
页码	11
关键词	3D EEG visual fatigue
ISSN号	1071-0922
DOI	10.1002/jsid.977
通讯作者	Wang, Danli(danli.wang@ia.ac.cn)
英文摘要	Severe visual fatigue symptoms occur while users view three-dimensional (3D) content. These symptoms adversely affect the user experience and hinder the widespread application of 3D media. Existing studies mainly used electroencephalography (EEG) power (based on frequency domain analysis) to evaluate 3D visual fatigue (3DVF), but their results were often contradictory and confusing. To address this problem, we investigated the relationship between EEG features and visual fatigue from the perspective of both time and time-frequency domain. Random-dot stereograms (RDS) with various disparities were employed to elicit depth-related visual evoked potentials (VEPs). The experiment lasted about 27 min for each subject to induce fatigue, and the EEG was recorded synchronously. VEPs of different fatigue levels were processed to extract both time (such as P-120 and N-170 components in VEPs) and time-frequency (like event-related spectral perturbation [ERSP]) domain characteristics. A significant increase in P-120 amplitude was observed in the parietal region, and time-frequency analysis also revealed a significant ERSP decrease of theta bands in the central-frontal region with a latency of 200 to 300 ms when subjects suffered fatigue. Our results confirm the hypothesis that activity of theta decreased with 3DVF level, or rather, we found ERSPs of theta bands on FC4 and Cz in the 200- to 300-ms window decreased significantly across four fatigue levels. Furthermore, we first reported the relationship between P-120 amplitude and 3DVF, which implied this feature could be considered as a feature of 3DVF evaluation. In summary, our studies could provide a new insight for 3DVF evaluation using EEG.
资助项目	National Natural Science Foundation of China[61272325] ; National Natural Science Foundation of China[61501463] ; National Natural Science Foundation of China[61562063] ; National Natural Science Foundation of China[61672507] ; National Key Research and Development Program[2016YFB0401202]
WOS关键词	STIMULI ; RESPONSES ; STEREOGRAMS ; ADAPTATION ; MODULATION ; DYNAMICS ; NEURONS
WOS研究方向	Engineering ; Materials Science ; Optics ; Physics
语种	英语
出版者	WILEY
WOS记录号	WOS:000592374400001
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/41657]
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.Beijing Inst Technol, Sch Opt & Photon, Beijing, Peoples R China 2.State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yue, Kang,Wang, Danli. Investigating the neural activity of various 3D visual fatigue degrees using depth-related visual evoked potentials[J]. JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY,2020:11.
APA	Yue, Kang,&Wang, Danli.(2020).Investigating the neural activity of various 3D visual fatigue degrees using depth-related visual evoked potentials.JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY,11.
MLA	Yue, Kang,et al."Investigating the neural activity of various 3D visual fatigue degrees using depth-related visual evoked potentials".JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY (2020):11.