<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware</title>
  </titleInfo>
  <titleInfo type="alternative">
    <title>Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware</title>
  </titleInfo>
  <name type="personal">
    <namePart>Huong, Nice Quan</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2010</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <form authority="gmd">computer file</form>
    <extent>xiv, 64 p. : ill. (some col.) ; 30 cm. + 1 computer disc</extent>
  </physicalDescription>
  <abstract>The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is captured, monitoring the face region and eyes in order to detect drowsy/fatigue. The system able to monitoring eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. It can determine a time proportion of eye closure as the proportion of a time interval that the eye is in the closed position. If the driver’s eyes are closed cumulatively more than a standard value, the system draws the conclusion that the driver is falling asleep, and then it will activate an alarm sound to alert the driver</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Huong Nice Quan</note>
  <note>Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010</note>
  <note>Bibliography : p. 59-60</note>
  <subject authority="lcsh">
    <topic>Image processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Drowsiness</topic>
    <topic>Physiological aspects</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Human face recognition (Computer science)</topic>
  </subject>
  <identifier type="isbn">THE0005966(Local)</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">110718</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204438.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000054804</recordIdentifier>
  </recordInfo>
</mods>
