Visual Fatigue Assessment Based on Multi-task Learning

doi:10.2352/J.ImagingSci.Technol.2019.63.6.060414

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

	Visual Fatigue Assessment Based on Multi-task Learning
	Wang, Danli; Wang, Xueyu; Song, Yaguang; Xing, Qian; Zheng, Nan
刊名	JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
	2019-11-01
卷号	63 期号:6 页码:8
ISSN号	1062-3701
DOI	10.2352/J.ImagingSci.Technol.2019.63.6.060414
通讯作者	Wang, Danli(danliwang2009@gmail.com)
英文摘要	In recent years, with the rapid development of stereoscopic display technology, its applications have become increasingly popular in many fields, and, meanwhile, the number of audiences is also growing. The problem of visual fatigue is becoming more and more prominent. Visual fatigue is mainly caused by vergence-accommodation conflicts. An evaluation experiment was conducted, and the electroencephalogram (EEG) data of the subjects were collected when they were watching stereoscopic content, and then the stereoscopic fatigue state of the subjects during the viewing process was analyzed. As deep learning is proved to be an effective end-to-end learning method and multi-task learning can alleviate the problem of lacking annotated data, the authors establish a user visual fatigue assessment model based on EEG by using multi-task learning, which can effectively obtain the user's visual fatigue status, so as to make the comfort designs to avoid the harm caused by user's visual fatigue. (C) 2019 Society for Imaging Science and Technology.
资助项目	National Key Research and Development Program[2016YFB0401202] ; National Natural Science Foundation of China[61872363] ; 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	Imaging Science & Photographic Technology
语种	英语
出版者	I S & T-SOC IMAGING SCIENCE TECHNOLOGY
WOS记录号	WOS:000508022200015
资助机构	National Key Research and Development Program ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/29537]
专题	自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者	Wang, Danli
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Danli,Wang, Xueyu,Song, Yaguang,et al. Visual Fatigue Assessment Based on Multi-task Learning[J]. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY,2019,63(6):8.
APA	Wang, Danli,Wang, Xueyu,Song, Yaguang,Xing, Qian,&Zheng, Nan.(2019).Visual Fatigue Assessment Based on Multi-task Learning.JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY,63(6),8.
MLA	Wang, Danli,et al."Visual Fatigue Assessment Based on Multi-task Learning".JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY 63.6(2019):8.