Affective information processing

Affective information processing assigns computers the human-like capabilities of observation, interpretation and generation of affect features. It is an important topic for harmonious human-computer interaction, by increasing the quality of human-computer communication and improving the intelligence of the computer.

Discussing state of art of the research in affective information processing, this book summarises key technologies researched, such as facial expression recognition, face animation, emotional speech synthesis, intelligent agent, and virtual reality. The detailed discussion covers a wide range of topics including hot topics which look to challenge and improve current research work.

Written to provide an opportunity for scientists, engineers and graduate students to learn problems, solutions and technologies in the topic area, this book will provide insight and prove a valuable reference tool.

Jianhua Tao and Tieniu TanAndrew OrtonyValeria Carofiglio and Fiorella de Rosis and Nicole NovielliMostafa Al Masum Shaikh and Helmut Prendinger and Mitsuru IshizukaRuth Aylett and Ana Paiva and Joao Dias and Lynne Hall and Sarah WoodsChung-Hsien Wu and Jui-Feng Yeh and Ze-Jing ChuangMarc SchroderJianhua Tao and Aijun LiUrsula Hess and Pascal ThibaultYan Tong and Wenhui Liao and Qiang JiJianhua Tao and Panrong Yin and Le XinAnna EspositoKristiina JokinenZhihong Zeng and Maja Pantic and Thomas S. HuangJean-Claude Martin and Laurence DevillersChristian Peter and Eric Ebert and Helmut BeikirchCelso M. de Melo and Ana Paiva

1 Introduction	p. 1
Part I Cognitive Emotion Models
2 Affect and Emotions in Intelligent Agents: Why and How?	p. 11
3 Cognitive Emotion Modeling in Natural Language Communication	p. 23
4 A Linguistic Interpretation of the OCC Emotion Model for Affect Sensing from Text	p. 45
5 Affective Agents for Education Against Bullying	p. 75
Part II Affect in Speech
6 Emotion Perception and Recognition from Speech	p. 93
7 Expressive Speech Synthesis: Past, Present, and Possible Futures	p. 111
8 Emotional Speech Generation by Using Statistic Prosody Conversion Methods	p. 127
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	p. 145
10 Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships	p. 159
11 Face Animation Based on Large Audiovisual Database	p. 181
Part IV Affect in Multimodal Interaction
12 Affect in Multimodal Information	p. 203
13 Nonverbal Feedback in Interactions	p. 227
14 Emotion Recognition Based on Multimodal Information	p. 241
15 A Multimodal Corpus Approach for the Study of Spontaneous Emotions	p. 267
16 Physiological Sensing for Affective Computing	p. 293
17 Evolutionary Expression of Emotions in Virtual Humans Using Lights and Pixels	p. 311
Index	p. 335

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Table of Contents