Loading…

Real-time system for monitoring driver vigilance

This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visua...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2006-03, Vol.7 (1), p.63-77
Main Authors: Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R., Lopez, M.E.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3
cites cdi_FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3
container_end_page 77
container_issue 1
container_start_page 63
container_title IEEE transactions on intelligent transportation systems
container_volume 7
creator Bergasa, L.M.
Nuevo, J.
Sotelo, M.A.
Barea, R.
Lopez, M.E.
description This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize a driver's level of vigilance. Six parameters are calculated: Percent eye closure (PERCLOS), eye closure duration, blink frequency, nodding frequency, face position, and fixed gaze. These parameters are combined using a fuzzy classifier to infer the level of inattentiveness of the driver. The use of multiple visual parameters and the fusion of these parameters yield a more robust and accurate inattention characterization than by using a single parameter. The system has been tested with different sequences recorded in night and day driving conditions in a motorway and with different users. Some experimental results and conclusions about the performance of the system are presented
doi_str_mv 10.1109/TITS.2006.869598
format article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_1603553</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1603553</ieee_id><sourcerecordid>2346132641</sourcerecordid><originalsourceid>FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3</originalsourceid><addsrcrecordid>eNqFkU1Lw0AQhoMoWKt3wUsQ1FPqbPb7KMWPQkHQel42m03ZkjR1Ny3037shhYIHncsMO8_MzsybJNcIJgiBfFzMFp-THIBNBJNUipNkhCgVGQBip32ck0wChfPkIoRVfCUUoVECH1bXWecam4Z96GyTVq1Pm3btuta79TItvdtZn-7c0tV6bexlclbpOtirgx8nXy_Pi-lbNn9_nU2f5pkhiHQZNbYAq8EwonlJuS40prKweUGqEmOoOGVUxAF1zkxVGZ4zTUQJWAumUVHgcfIw9N349ntrQ6caF4yt4xC23QYlJMsx4VRG8v5PMpeAZLT_QQFcUEkjePsLXLVbv47rKsEYJiLnECEYIOPbELyt1Ma7Rvu9QqB6SVQvieolUYMkseTu0FcHo-vKx4O6cKzjNP4ueORuBs5Za49pBphSjH8AJIKTPQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>866348270</pqid></control><display><type>article</type><title>Real-time system for monitoring driver vigilance</title><source>IEEE Xplore (Online service)</source><creator>Bergasa, L.M. ; Nuevo, J. ; Sotelo, M.A. ; Barea, R. ; Lopez, M.E.</creator><creatorcontrib>Bergasa, L.M. ; Nuevo, J. ; Sotelo, M.A. ; Barea, R. ; Lopez, M.E.</creatorcontrib><description>This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize a driver's level of vigilance. Six parameters are calculated: Percent eye closure (PERCLOS), eye closure duration, blink frequency, nodding frequency, face position, and fixed gaze. These parameters are combined using a fuzzy classifier to infer the level of inattentiveness of the driver. The use of multiple visual parameters and the fusion of these parameters yield a more robust and accurate inattention characterization than by using a single parameter. The system has been tested with different sequences recorded in night and day driving conditions in a motorway and with different users. Some experimental results and conclusions about the performance of the system are presented</description><identifier>ISSN: 1524-9050</identifier><identifier>EISSN: 1558-0016</identifier><identifier>DOI: 10.1109/TITS.2006.869598</identifier><identifier>CODEN: ITISFG</identifier><language>eng</language><publisher>Piscataway, NJ: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Computer programs ; Computer science; control theory; systems ; Computerized monitoring ; Control theory. Systems ; Device driver programs ; Driver vigilance ; Exact sciences and technology ; eyelid movement ; face position ; Fatigue ; Frequency ; Fuzzy ; fuzzy classifier ; Ground, air and sea transportation, marine construction ; Monitoring ; Pattern recognition. Digital image processing. Computational geometry ; percent eye closure (PERCLOS) ; Pulse measurements ; Real time ; Real time systems ; Road accidents ; Robotics ; Statistics ; Studies ; US Department of Transportation ; Vehicle crash testing ; Vehicle driving ; Vigilance ; Vision systems ; Visual ; visual fatigue behaviors</subject><ispartof>IEEE transactions on intelligent transportation systems, 2006-03, Vol.7 (1), p.63-77</ispartof><rights>2006 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3</citedby><cites>FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1603553$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17559587$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Bergasa, L.M.</creatorcontrib><creatorcontrib>Nuevo, J.</creatorcontrib><creatorcontrib>Sotelo, M.A.</creatorcontrib><creatorcontrib>Barea, R.</creatorcontrib><creatorcontrib>Lopez, M.E.</creatorcontrib><title>Real-time system for monitoring driver vigilance</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><description>This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize a driver's level of vigilance. Six parameters are calculated: Percent eye closure (PERCLOS), eye closure duration, blink frequency, nodding frequency, face position, and fixed gaze. These parameters are combined using a fuzzy classifier to infer the level of inattentiveness of the driver. The use of multiple visual parameters and the fusion of these parameters yield a more robust and accurate inattention characterization than by using a single parameter. The system has been tested with different sequences recorded in night and day driving conditions in a motorway and with different users. Some experimental results and conclusions about the performance of the system are presented</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer programs</subject><subject>Computer science; control theory; systems</subject><subject>Computerized monitoring</subject><subject>Control theory. Systems</subject><subject>Device driver programs</subject><subject>Driver vigilance</subject><subject>Exact sciences and technology</subject><subject>eyelid movement</subject><subject>face position</subject><subject>Fatigue</subject><subject>Frequency</subject><subject>Fuzzy</subject><subject>fuzzy classifier</subject><subject>Ground, air and sea transportation, marine construction</subject><subject>Monitoring</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>percent eye closure (PERCLOS)</subject><subject>Pulse measurements</subject><subject>Real time</subject><subject>Real time systems</subject><subject>Road accidents</subject><subject>Robotics</subject><subject>Statistics</subject><subject>Studies</subject><subject>US Department of Transportation</subject><subject>Vehicle crash testing</subject><subject>Vehicle driving</subject><subject>Vigilance</subject><subject>Vision systems</subject><subject>Visual</subject><subject>visual fatigue behaviors</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkU1Lw0AQhoMoWKt3wUsQ1FPqbPb7KMWPQkHQel42m03ZkjR1Ny3037shhYIHncsMO8_MzsybJNcIJgiBfFzMFp-THIBNBJNUipNkhCgVGQBip32ck0wChfPkIoRVfCUUoVECH1bXWecam4Z96GyTVq1Pm3btuta79TItvdtZn-7c0tV6bexlclbpOtirgx8nXy_Pi-lbNn9_nU2f5pkhiHQZNbYAq8EwonlJuS40prKweUGqEmOoOGVUxAF1zkxVGZ4zTUQJWAumUVHgcfIw9N349ntrQ6caF4yt4xC23QYlJMsx4VRG8v5PMpeAZLT_QQFcUEkjePsLXLVbv47rKsEYJiLnECEYIOPbELyt1Ma7Rvu9QqB6SVQvieolUYMkseTu0FcHo-vKx4O6cKzjNP4ueORuBs5Za49pBphSjH8AJIKTPQ</recordid><startdate>20060301</startdate><enddate>20060301</enddate><creator>Bergasa, L.M.</creator><creator>Nuevo, J.</creator><creator>Sotelo, M.A.</creator><creator>Barea, R.</creator><creator>Lopez, M.E.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>H8D</scope><scope>F28</scope></search><sort><creationdate>20060301</creationdate><title>Real-time system for monitoring driver vigilance</title><author>Bergasa, L.M. ; Nuevo, J. ; Sotelo, M.A. ; Barea, R. ; Lopez, M.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer programs</topic><topic>Computer science; control theory; systems</topic><topic>Computerized monitoring</topic><topic>Control theory. Systems</topic><topic>Device driver programs</topic><topic>Driver vigilance</topic><topic>Exact sciences and technology</topic><topic>eyelid movement</topic><topic>face position</topic><topic>Fatigue</topic><topic>Frequency</topic><topic>Fuzzy</topic><topic>fuzzy classifier</topic><topic>Ground, air and sea transportation, marine construction</topic><topic>Monitoring</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>percent eye closure (PERCLOS)</topic><topic>Pulse measurements</topic><topic>Real time</topic><topic>Real time systems</topic><topic>Road accidents</topic><topic>Robotics</topic><topic>Statistics</topic><topic>Studies</topic><topic>US Department of Transportation</topic><topic>Vehicle crash testing</topic><topic>Vehicle driving</topic><topic>Vigilance</topic><topic>Vision systems</topic><topic>Visual</topic><topic>visual fatigue behaviors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bergasa, L.M.</creatorcontrib><creatorcontrib>Nuevo, J.</creatorcontrib><creatorcontrib>Sotelo, M.A.</creatorcontrib><creatorcontrib>Barea, R.</creatorcontrib><creatorcontrib>Lopez, M.E.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Aerospace Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><jtitle>IEEE transactions on intelligent transportation systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bergasa, L.M.</au><au>Nuevo, J.</au><au>Sotelo, M.A.</au><au>Barea, R.</au><au>Lopez, M.E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-time system for monitoring driver vigilance</atitle><jtitle>IEEE transactions on intelligent transportation systems</jtitle><stitle>TITS</stitle><date>2006-03-01</date><risdate>2006</risdate><volume>7</volume><issue>1</issue><spage>63</spage><epage>77</epage><pages>63-77</pages><issn>1524-9050</issn><eissn>1558-0016</eissn><coden>ITISFG</coden><abstract>This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize a driver's level of vigilance. Six parameters are calculated: Percent eye closure (PERCLOS), eye closure duration, blink frequency, nodding frequency, face position, and fixed gaze. These parameters are combined using a fuzzy classifier to infer the level of inattentiveness of the driver. The use of multiple visual parameters and the fusion of these parameters yield a more robust and accurate inattention characterization than by using a single parameter. The system has been tested with different sequences recorded in night and day driving conditions in a motorway and with different users. Some experimental results and conclusions about the performance of the system are presented</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TITS.2006.869598</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1524-9050
ispartof IEEE transactions on intelligent transportation systems, 2006-03, Vol.7 (1), p.63-77
issn 1524-9050
1558-0016
language eng
recordid cdi_ieee_primary_1603553
source IEEE Xplore (Online service)
subjects Applied sciences
Artificial intelligence
Computer programs
Computer science
control theory
systems
Computerized monitoring
Control theory. Systems
Device driver programs
Driver vigilance
Exact sciences and technology
eyelid movement
face position
Fatigue
Frequency
Fuzzy
fuzzy classifier
Ground, air and sea transportation, marine construction
Monitoring
Pattern recognition. Digital image processing. Computational geometry
percent eye closure (PERCLOS)
Pulse measurements
Real time
Real time systems
Road accidents
Robotics
Statistics
Studies
US Department of Transportation
Vehicle crash testing
Vehicle driving
Vigilance
Vision systems
Visual
visual fatigue behaviors
title Real-time system for monitoring driver vigilance
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T07%3A02%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Real-time%20system%20for%20monitoring%20driver%20vigilance&rft.jtitle=IEEE%20transactions%20on%20intelligent%20transportation%20systems&rft.au=Bergasa,%20L.M.&rft.date=2006-03-01&rft.volume=7&rft.issue=1&rft.spage=63&rft.epage=77&rft.pages=63-77&rft.issn=1524-9050&rft.eissn=1558-0016&rft.coden=ITISFG&rft_id=info:doi/10.1109/TITS.2006.869598&rft_dat=%3Cproquest_ieee_%3E2346132641%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c414t-5ceb0ea0c64a7d57aba359be2b4fd330f75658558a26cffc726a48d03a86a1bb3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=866348270&rft_id=info:pmid/&rft_ieee_id=1603553&rfr_iscdi=true