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Automatic detection of driver drowsiness during simulated driving using brainwaves changes as indicator / (Record no. 67930)

MARC details
000 -LEADER
fixed length control field 02034cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032058.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181013s2018 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.03.Ph.D.2018.Ah.A
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ahmed Abdelhamid Mohamed Torki
245 10 - TITLE STATEMENT
Title Automatic detection of driver drowsiness during simulated driving using brainwaves changes as indicator /
Statement of responsibility, etc. Ahmed Abdelhamid Mohamed Torki ; Supervised Ayman M. Eldeib
246 15 - VARYING FORM OF TITLE
Title proper/short title الكشف الاوتوماتيكي لنعاس السائق اثناء القيادة بالمحاكاة باستخدام التغييرات في الموجات الدماغية كمؤشر
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ahmed Abdelhamid Mohamed Torki ,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 79 P. :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Driver drowsiness contributes widely in vehicle accidents. Studies assessed drowsiness indicators at different driving setups. The first objective was to establish an experiment to obtain generic datasets of brainwaves epochs recorded by electroencephalogram (EEG) at forehead sites labeled with alertness and drowsiness for subjects using facial expressions recorded by videos. Subjects perform simulated driving for two hours after 6 PM. The second and third objective were to extract and select significant features that yield to highest classification accuracy between alert and drowsy using statistical and classification methods. The results showed the classification accuracy was 85.8 %
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Driver drowsiness detection
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Electroencephalogram
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Simulated Driving
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ayman M. Eldeib ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.03.Ph.D.2018.Ah.A 01010110076124000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.03.Ph.D.2018.Ah.A 01020110076124000 22.09.2023 CD - Rom 76124.CD