一种基于红外远红外相机的视觉疲劳测量系统

Jinman Kim, E. Lee, Jao Sang Lim
{"title":"一种基于红外远红外相机的视觉疲劳测量系统","authors":"Jinman Kim, E. Lee, Jao Sang Lim","doi":"10.1109/JCSSE.2011.5930117","DOIUrl":null,"url":null,"abstract":"This paper presents a new objective visual fatigue measurement system by using one remote camera. In captured image, eye and pupil regions are sequentially detected using some image processing methods. Based on the pupil region, pupil size, pupil accommodation speed, blink frequency, and eye closed duration can be determined. Because more frequent blinks and slower pupil accommodation indicate an increased level of visual fatigue, our system can objectively measure visual fatigue. Also, since there is no need to wear any device, inconvenience may be minimized. Experimental results showed the blink detection accuracy was 98.9% and pupil localization error was 1.9%.","PeriodicalId":287775,"journal":{"name":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A new objective visual fatigue measurement system by using a remote infrared camera\",\"authors\":\"Jinman Kim, E. Lee, Jao Sang Lim\",\"doi\":\"10.1109/JCSSE.2011.5930117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new objective visual fatigue measurement system by using one remote camera. In captured image, eye and pupil regions are sequentially detected using some image processing methods. Based on the pupil region, pupil size, pupil accommodation speed, blink frequency, and eye closed duration can be determined. Because more frequent blinks and slower pupil accommodation indicate an increased level of visual fatigue, our system can objectively measure visual fatigue. Also, since there is no need to wear any device, inconvenience may be minimized. Experimental results showed the blink detection accuracy was 98.9% and pupil localization error was 1.9%.\",\"PeriodicalId\":287775,\"journal\":{\"name\":\"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCSSE.2011.5930117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2011.5930117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文介绍了一种新的单摄像机视觉疲劳测量系统。在捕获的图像中,使用一些图像处理方法对眼睛和瞳孔区域进行顺序检测。根据瞳孔区域、瞳孔大小、瞳孔调节速度、眨眼频率和闭眼时间可以确定。因为更频繁的眨眼和更慢的瞳孔适应表明视觉疲劳程度的增加,我们的系统可以客观地测量视觉疲劳。此外,由于不需要佩戴任何设备,不便可以最小化。实验结果表明,眨眼检测准确率为98.9%,瞳孔定位误差为1.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A new objective visual fatigue measurement system by using a remote infrared camera
This paper presents a new objective visual fatigue measurement system by using one remote camera. In captured image, eye and pupil regions are sequentially detected using some image processing methods. Based on the pupil region, pupil size, pupil accommodation speed, blink frequency, and eye closed duration can be determined. Because more frequent blinks and slower pupil accommodation indicate an increased level of visual fatigue, our system can objectively measure visual fatigue. Also, since there is no need to wear any device, inconvenience may be minimized. Experimental results showed the blink detection accuracy was 98.9% and pupil localization error was 1.9%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Transforming state tables to Coloured Petri nets for automatic verification of internet protocols Clustering by attraction and distraction Event recognition from information-linkage based using phrase tree traversal Towards a complete project oriented risk management model: A refinement of PRORISK Solving software module clustering problem by evolutionary algorithms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1