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Visual Affect Recognition

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Bibliographic Details
Title: Visual Affect Recognition
Description: It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a ‘face image database'. On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facial expression recognition subsystem. Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motion and gestures are also discussed.
Authors: Ioanna-Ourania Stathopoulou
Resource Type: eBook.
Subjects: Human face recognition (Computer science), Computer vision, Visual perception, Facial expression
Categories: COMPUTERS / Computer Science
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 342845
RelevancyScore: 1031
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1031.17456054688
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  Data: Visual Affect Recognition
– Name: Abstract
  Label: Description
  Group: Ab
  Data: It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a ‘face image database'. On the basis of this work, a visual affect recognition system was developed, consisting of two modules: a face detection subsystem and a facial expression recognition subsystem. Details of this system are demonstrated and analyzed, and extensive performance evaluations and test results are provided. Finally, current research avenues leading to visual affect recognition via analysis of body motion and gestures are also discussed.
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  Data: <searchLink fieldCode="DE" term="%22Human+face+recognition+%28Computer+science%29%22">Human face recognition (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Facial+expression%22">Facial expression</searchLink>
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RecordInfo BibRecord:
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    Classifications:
      – Code: 006.37
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Human face recognition (Computer science)
        Type: general
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Visual perception
        Type: general
      – SubjectFull: Facial expression
        Type: general
    Titles:
      – TitleFull: Visual Affect Recognition
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Ioanna-Ourania Stathopoulou
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          Name:
            NameFull: Ioanna-Ourania Stathopoulou
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781607505969
            – Type: isbn-electronic
              Value: 9781607505976
          Titles:
            – TitleFull: Visual Affect Recognition
              Type: main
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