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dc.contributor.authorFairbanks, Rollin J. IIIen
dc.date.accessioned2014-03-14T21:32:10Zen
dc.date.available2014-03-14T21:32:10Zen
dc.date.issued1995-12-05en
dc.identifier.otheretd-03242009-040357en
dc.identifier.urihttp://hdl.handle.net/10919/41746en
dc.description.abstractResearch conducted over the past three years in the Vehicle Analysis and Simulation Laboratory at Virginia Tech has resulted in the development and validation of algorithms for the detection of driver drowsiness. Specifically, the goal of the research has been to develop the best possible drowsiness-detection algorithms using measures that can be computed while a vehicle is in motion with minimal interference with the driver. The results of these studies, which have been previously reported, generally support the feasibility of drowsy-driver detection and indicate that further analysis and refinement of the algorithms is warranted. This thesis researches several methods of refining existing driver-status algorithms, the integration of driver-performance deterioration measures, and the selection of appropriate alarm thresholds to be used in test and evaluation study. The results of five algorithm optimization refinements are described. Chapter 2 reports that the elimination of outlier dependent measure data prior to algorithm development was found not to improve algorithm accuracy. Chapter 3 describes that the addition of cross product and squared terms to the algorithms did not provide consistent improvement in algorithm accuracy. Chapter 4 reports that, although time-on-task variables were found to have some improved capability, they did not consistently add to the accuracy of the algorithms.en
dc.format.extentx, 121en
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 34606518en
dc.relation.haspartLD5655.V855_1995.F357.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjecthighway safetyen
dc.subject.lccLD5655.V855 1995.F357en
dc.titleAlgorithms refinement and threshold determination for a drowsy driver detection systemen
dc.typeThesisen
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineIndustrial and Systems Engineeringen
dc.contributor.committeechairWierwille, Walter W.en
dc.contributor.committeememberDryden, Robert D.en
dc.contributor.committeememberPrice, Dennis L.en
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-03242009-040357/en
dc.date.sdate2009-03-24en
dc.date.rdate2009-03-24en
dc.date.adate2009-03-24en


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