View in EDS PDF Full Text

A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.

Saved in:
Bibliographic Details
Title: A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
Authors: Awais, Muhammad1,2 muhammad.awais2@unibo.it, Badruddin, Nasreen1,3 nasreen.b@utp.edu.my, Drieberg, Micheal3 mdrieberg@utp.edu.my
Source: Sensors (14248220). Sep2017, Vol. 17 Issue 9, p1991. 16p.
Database: Academic Search Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 125088128
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Awais%2C+Muhammad%22">Awais, Muhammad</searchLink><relatesTo>1,2</relatesTo><i> muhammad.awais2@unibo.it</i><br /><searchLink fieldCode="AR" term="%22Badruddin%2C+Nasreen%22">Badruddin, Nasreen</searchLink><relatesTo>1,3</relatesTo><i> nasreen.b@utp.edu.my</i><br /><searchLink fieldCode="AR" term="%22Drieberg%2C+Micheal%22">Drieberg, Micheal</searchLink><relatesTo>3</relatesTo><i> mdrieberg@utp.edu.my</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Sep2017, Vol. 17 Issue 9, p1991. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=125088128
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/s17091991
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1991
    Titles:
      – TitleFull: A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Awais, Muhammad
      – PersonEntity:
          Name:
            NameFull: Badruddin, Nasreen
      – PersonEntity:
          Name:
            NameFull: Drieberg, Micheal
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2017
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-print
              Value: 14248220
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Sensors (14248220)
              Type: main
ResultId 1