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  <titleInfo>
    <title>Emotion recognition : a pattern analysis approach</title>
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  <name type="personal">
    <namePart>Konar, Amit.</namePart>
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      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Chakraborty, Aruna</namePart>
    <namePart type="date">1977-</namePart>
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  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2014</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>"Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro-fuzzy techniques, support vector machine (SVM), reinforcement learning, principal component analysis, the hidden Markov model, and probabilistic models. The result is a innovative edited volume on this timely topic for computer science and electrical engineering students and professionals"--</abstract>
  <tableOfContents>""Title Page""; ""Copyright""; ""Dedication""; ""Preface""; ""Acknowledgments""; ""Contributors""; ""Chapter 1: Introduction to Emotion Recognition""; ""1.1 Basics of Pattern Recognition""; ""1.2 Emotion Detection as a Pattern RecognitionÂ Problem""; ""1.3 Feature Extraction""; ""1.4 Feature Reduction Techniques""; ""1.5 Emotion Classification""; ""1.6 Multimodal Emotion Recognition""; ""1.7 Stimulus Generation for Emotion Arousal""; ""1.8 Validation Techniques""; ""1.9 Summary""; ""References""; ""Author Biographies""</tableOfContents>
  <tableOfContents>""Chapter 2: Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition""""2.1 Introduction""; ""2.2 Related Work""; ""2.3 Modeling the Semantic and Dynamic Relationships Among Aus With a DBN""; ""2.4 Experimental Results""; ""2.5 Conclusion""; ""References""; ""Author Biographies""; ""Note""; ""Chapter 3: Facial Expressions: A Cross-Cultural Study""; ""3.1 Introduction""; ""3.2 Extraction of Facial Regions and Ekmanâ€™s ActionÂ Units""; ""3.3 Cultural Variation in Occurrence of Different Aus""</tableOfContents>
  <tableOfContents>""3.4 Classification Performance Considering CulturalÂ Variability""""3.5 Conclusion""; ""References""; ""Author Biographies""; ""Notes""; ""Chapter 4: A Subject-dependent Facial Expression Recognition System""; ""4.1 Introduction""; ""4.2 Proposed Method""; ""4.3 Experiment Result""; ""4.4 Conclusion""; ""Acknowledgment""; ""References""; ""Author Biographies""; ""Chapter 5: Facial Expression Recognition Using Independent Component Features and Hidden Markov Model""; ""5.1 Introduction""; ""5.2 Methodology""; ""5.3 Experimental Results""; ""5.4 Conclusion""; ""Acknowledgments""</tableOfContents>
  <tableOfContents>""7.4 Fuzzy Type-2 Membership Evaluation""""7.5 Experimental Details""; ""7.6 Performance Analysis""; ""7.7 Conclusion""; ""References""; ""Author Biographies""; ""Chapter 8: Emotion Recognition from Non-frontal Facial Images""; ""8.1 Introduction""; ""8.2 A Brief Review of Automatic Emotional Expression Recognition""; ""8.3 Databases for Non-Frontal Facial Emotion Recognition""; ""8.4 Recent Advances of Emotion Recognition from Non-Frontal Facial Images""; ""8.5 Discussions and Conclusions""; ""Acknowledgments""; ""References""; ""Author Biographies""</tableOfContents>
  <note type="statement of responsibility">Amit Konar, Aruna Chakraborty.</note>
  <note>"Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style. Topics covered include emotional feature extraction, facial recognition, human-computer interface design, neuro-fuzzy techniques, support vector machine (SVM), reinforcement learning, principal component analysis, the hidden Markov model, and probabilistic models. The result is a innovative edited volume on this timely topic for computer science and electrical engineering students and professionals"-- Provided by publisher.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Human-computer interaction</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Emotions</topic>
    <topic>Computer simulation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Pattern recognition systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Context-aware computing</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING / Electronics / Digital</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Computer Vision &amp; Pattern Recognition</topic>
  </subject>
  <subject authority="fast">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="fast">
    <topic>Context-aware computing</topic>
  </subject>
  <subject authority="fast">
    <topic>Emotions</topic>
    <topic>Computer simulation</topic>
  </subject>
  <subject authority="fast">
    <topic>Human-computer interaction</topic>
  </subject>
  <subject authority="fast">
    <topic>Pattern recognition systems</topic>
  </subject>
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  <classification authority="ddc" edition="23">004.01/9</classification>
  <classification authority="bisacsh">TEC008060 COM016000</classification>
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    <originInfo>
      <publisher>Hoboken, New Jersey : John Wiley &amp; Sons, Inc., 2014</publisher>
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    <identifier type="local">(DLC)  2014024314</identifier>
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  <identifier type="isbn">9781118910603 (ePub)</identifier>
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