中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 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

文献类型：期刊论文

作者Yue, Kang1,2,3; Wang, Danli1,3
刊名JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY
出版日期2020-11-26
页码11
关键词3D EEG visual fatigue
ISSN号1071-0922
DOI10.1002/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.
WOS关键词STIMULI ; RESPONSES ; STEREOGRAMS ; ADAPTATION ; MODULATION ; DYNAMICS ; NEURONS
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研究方向Engineering ; Materials Science ; Optics ; Physics
语种英语
WOS记录号WOS:000592374400001
出版者WILEY
资助机构National Natural Science Foundation of China ; National Key Research and Development Program
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.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Beijing Inst Technol, Sch Opt & Photon, Beijing, Peoples R China
3.State Key Lab Management & Control Complex Syst, 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.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。