Eye state recognition based on shape analysis and fuzzy logic

Eye is the most important feature of human face. Eye state recognition plays an important role in vision based driver fatigue monitoring. A new eye state recognition method based on shape analysis and fuzzy logic is proposed in this paper. Eye characteristic regions are effective segmented by the th...

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Hauptverfasser:	Junbin Guo, Xiaosong Guo
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cities and towns Curve fitting Eye state Eyelids Face recognition Fatigue Fuzzy logic Humans Image processing Image segmentation Robustness Shape
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creator	Junbin Guo Xiaosong Guo
description	Eye is the most important feature of human face. Eye state recognition plays an important role in vision based driver fatigue monitoring. A new eye state recognition method based on shape analysis and fuzzy logic is proposed in this paper. Eye characteristic regions are effective segmented by the threshold that synthesized global threshold and local threshold. Then, curvature of the upper eyelid, opening of ellipse fitting eye and proportion of visual pupil are applied to determine eye state in accordance with the rules of fuzzy logic. Experimental results show that the method can recognize eye state quickly, correctly and robustly.
doi_str_mv	10.1109/IVS.2009.5164256
format	Conference Proceeding
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Eye state recognition plays an important role in vision based driver fatigue monitoring. A new eye state recognition method based on shape analysis and fuzzy logic is proposed in this paper. Eye characteristic regions are effective segmented by the threshold that synthesized global threshold and local threshold. Then, curvature of the upper eyelid, opening of ellipse fitting eye and proportion of visual pupil are applied to determine eye state in accordance with the rules of fuzzy logic. 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Eye state recognition plays an important role in vision based driver fatigue monitoring. A new eye state recognition method based on shape analysis and fuzzy logic is proposed in this paper. Eye characteristic regions are effective segmented by the threshold that synthesized global threshold and local threshold. Then, curvature of the upper eyelid, opening of ellipse fitting eye and proportion of visual pupil are applied to determine eye state in accordance with the rules of fuzzy logic. Experimental results show that the method can recognize eye state quickly, correctly and robustly.</description><subject>Cities and towns</subject><subject>Curve fitting</subject><subject>Eye state</subject><subject>Eyelids</subject><subject>Face recognition</subject><subject>Fatigue</subject><subject>Fuzzy logic</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Robustness</subject><subject>Shape</subject><issn>1931-0587</issn><issn>2642-7214</issn><isbn>9781424435036</isbn><isbn>142443503X</isbn><isbn>1424435048</isbn><isbn>9781424435043</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kDtrwzAYRdUX1EmzF7roD9jR-zF0KCFtAoEOfaxBkT6lKq4dLHdwfn0MTad7uAfucBG6p6SilNj5-vOtYoTYSlIlmFQXaEIFE4JLIswlKtjYlppRcYVmVpt_x9U1KqjltCTS6Fs0yfmbECkZowV6XA6Ac-96wB34dt-kPrUN3rkMAY-Qv9wBsGtcPeSURwg4_h6PA67bffJ36Ca6OsPsnFP08bx8X6zKzevLevG0KRPVsi-5j-DYjlseAzEAIhoZlddGRyvAsmCClUZE8Ip4HZVmUlirdHCgmCCBT9HD324CgO2hSz-uG7bnG_gJDJVMXA</recordid><startdate>200906</startdate><enddate>200906</enddate><creator>Junbin Guo</creator><creator>Xiaosong Guo</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200906</creationdate><title>Eye state recognition based on shape analysis and fuzzy logic</title><author>Junbin Guo ; Xiaosong Guo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-3cfea2b393fd08ee4f85f6c787f94e92d8d9584fec60c7f672549967dae6240d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Cities and towns</topic><topic>Curve fitting</topic><topic>Eye state</topic><topic>Eyelids</topic><topic>Face recognition</topic><topic>Fatigue</topic><topic>Fuzzy logic</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Robustness</topic><topic>Shape</topic><toplevel>online_resources</toplevel><creatorcontrib>Junbin Guo</creatorcontrib><creatorcontrib>Xiaosong Guo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Junbin Guo</au><au>Xiaosong Guo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Eye state recognition based on shape analysis and fuzzy logic</atitle><btitle>2009 IEEE Intelligent Vehicles Symposium</btitle><stitle>IVS</stitle><date>2009-06</date><risdate>2009</risdate><spage>78</spage><epage>82</epage><pages>78-82</pages><issn>1931-0587</issn><eissn>2642-7214</eissn><isbn>9781424435036</isbn><isbn>142443503X</isbn><eisbn>1424435048</eisbn><eisbn>9781424435043</eisbn><abstract>Eye is the most important feature of human face. Eye state recognition plays an important role in vision based driver fatigue monitoring. A new eye state recognition method based on shape analysis and fuzzy logic is proposed in this paper. Eye characteristic regions are effective segmented by the threshold that synthesized global threshold and local threshold. Then, curvature of the upper eyelid, opening of ellipse fitting eye and proportion of visual pupil are applied to determine eye state in accordance with the rules of fuzzy logic. Experimental results show that the method can recognize eye state quickly, correctly and robustly.</abstract><pub>IEEE</pub><doi>10.1109/IVS.2009.5164256</doi><tpages>5</tpages></addata></record>
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identifier	ISSN: 1931-0587
ispartof	2009 IEEE Intelligent Vehicles Symposium, 2009, p.78-82
issn	1931-0587 2642-7214
language	eng
recordid	cdi_ieee_primary_5164256
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Cities and towns Curve fitting Eye state Eyelids Face recognition Fatigue Fuzzy logic Humans Image processing Image segmentation Robustness Shape
title	Eye state recognition based on shape analysis and fuzzy logic
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