This state-of-the-art volume discusses the developments in affective information processing, and summarises the key technologies researched, such as facial expression recognition, face animation, emotional speech synthesis, intelligent agents, and virtual reality. The detailed and accessible coverage includes a wide range of topics, including areas which look to challenge and improve current research.

The book is organised into the following themed parts to aid the readers in their understanding of the field: Cognitive Emotion Model, Affect in Speech, Affect in Face and Affect in Multimodal Interaction.

Contents
Preface
1. Introduction
Part I: Cognitive Emotion Models
2. Affect and Emotions in Intelligent Agents: Why and How?
3. Cognitive Emotion Modeling in Natural Language Communication
4. A Linguistic Interpretation of the OCC Emotion Model for Affect Sensing from Text
5. Affective Agents for Education Against Bullying
Part II: Affect in Speech
6. Emotion Perception and Recognition from Speech
7. Expressive Speech Synthesis: Past, Present, and Possible Futures
8. Emotional Speech Generation by Using Statistic Prosody Conversion Methods
Part III: Affect in Face
9. Why the Same Expression May Not Mean the Same When Shown on Different Faces or Seen by Different People
10. Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships
11. Face Animation Based on Large Audiovisual Database
Part IV: Affect in Multimodal Interaction
12. Affect in Multimodal Information
13. Nonverbal Feedback in Interactions
14. Emotion Recognition Based on Multimodal Information
15. A Multimodal Corpus Approach for the Study of Spontaneous Emotions
16. Physiological Sensing for Affective Computing
17. Evolutionary Expression of Emotions in Virtual Humans Using Lights and Pixels
Index

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