Emotion recognition : a pattern analysis approach

Emotion recognition : a pattern analysis approach / Amit Konar, Aruna Chakraborty.

"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...

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Bibliographic Details
Main Author: Konar, Amit
Other Authors: Chakraborty, Aruna, 1977-
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., 2014.
Subjects:
Human-computer interaction.
Artificial intelligence.
Emotions > Computer simulation.
Pattern recognition systems.
Context-aware computing.
artificial intelligence.
TECHNOLOGY & ENGINEERING > Electronics > Digital.
COMPUTERS > Computer Vision & Pattern Recognition.
Artificial intelligence
Context-aware computing
Emotions > Computer simulation
Human-computer interaction
Pattern recognition systems
Online Access:Click for online access
Table of Contents:
  • 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 Recognition 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
  • Chapter 2: Exploiting Dynamic Dependencies Among Action Units for Spontaneous Facial Action Recognition2.1 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€"! Action Units
  • 3.3 Cultural Variation in Occurrence of Different Aus
  • 3.4 Classification Performance Considering Cultural Variability3.5 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
  • 7.4 Fuzzy Type-2 Membership Evaluation7.5 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

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