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Drowsiness detection while driving using fractal analysis and wavelet transform

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TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
Drowsiness detection while driving using fractal analysis and wavelet transform
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Parikh
NamePart (type = given)
Prachi
DisplayForm
Prachi Parikh
Role
RoleTerm (authority = RULIB)
author
Name (ID = NAME002); (type = personal)
NamePart (type = family)
Micheli-Tzanakou
NamePart (type = given)
Evangelia
Affiliation
Advisory Committee
DisplayForm
Evangelia Micheli-Tzanakou
Role
RoleTerm (authority = RULIB)
chair
Name (ID = NAME003); (type = personal)
NamePart (type = family)
Shoane
NamePart (type = given)
George
Affiliation
Advisory Committee
DisplayForm
George Shoane
Role
RoleTerm (authority = RULIB)
internal member
Name (ID = NAME004); (type = personal)
NamePart (type = family)
Drzeweicki
NamePart (type = given)
Gary
Affiliation
Advisory Committee
DisplayForm
Gary Drzeweicki
Role
RoleTerm (authority = RULIB)
internal member
Name (ID = NAME005); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME006); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2007
DateOther (qualifier = exact); (type = degree)
2007
Language
LanguageTerm
English
PhysicalDescription
Form (authority = marcform)
electronic
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
vii, 87 pages
Note
Supplementary File: Appendix A - Subject Consent Form
Abstract
The EEG signal plays a key role as a nondestructive testing method in the diagnosis and functional determination of the brain. EEG recordings represent changes in alertness, arousal, sleep and cognition. Boredom, fatigue and monotony of a task may induce drowsiness that leads to a decrease in alertness. This can have serious consequences in tasks involving constant vigilance and control such as driving. In the current study, EEG signals are recorded using a car simulator and analyzed using Fractal analysis and Wavelet Transform. It is observed that there is an increase in the alpha frequencies in the latter stages of driving indicating a state of drowsiness. The analysis techniques used provide results quickly, which is essential to provide instant feedback.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 82-87).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Biomedical Engineering
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Automobile drivers--Psychology
Subject (ID = SUBJ3); (authority = ETD-LCSH)
Topic
Drowsiness
Subject (ID = SUBJ4); (authority = ETD-LCSH)
Topic
Fractals
Subject (ID = SUBJ5); (authority = ETD-LCSH)
Topic
Wavelets (Mathematics)
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16757
Identifier
ETD_326
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3QC03W9
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Prachi Parikh
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
RightsEvent (AUTHORITY = rulib); (ID = 1)
Type
Permission or license
Detail
Non-exclusive ETD license
AssociatedObject (AUTHORITY = rulib); (ID = 1)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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