Table of contents

  1. Front Matter
    Pages i-xi
  2. Cognitive Emotion Models

    1. Jianhua Tao, Tieniu Tan
      Pages 1-8
    2. Valeria Carofiglio, Fiorella de Rosis, Nicole Novielli
      Pages 23-44
    3. Mostafa Al Masum Shaikh, Helmut Prendinger, Mitsuru Ishizuka
      Pages 45-73
    4. Ruth Aylett, Ana Paiva, Joao Dias, Lynne Hall, Sarah Woods
      Pages 75-90
  3. Affect in Speech

  4. Affect in Face

  5. Affect in Multimodal Interaction

    1. Anna Esposito
      Pages 203-226
    2. Kristiina Jokinen
      Pages 227-240
    3. Zhihong Zeng, Maja Pantic, Thomas S. Huang
      Pages 241-265
    4. Jean-Claude Martin, Laurence Devillers
      Pages 267-291
    5. Christian Peter, Eric Ebert, Helmut Beikirch
      Pages 293-310
  6. Back Matter
    Pages 335-345

About this book

Introduction

Affective information processing is intended to give computers the human-like capabilities of observation, interpretation and generation of affect features. It is essential for natural and effective human-computer interaction and has become a very hot research topic.

This state-of-the-art volume discusses the latest 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.

Topics and Features:

• Reports on the state-of-the-art research in affective information processing

• Summarises key technologies researched during the last few years, such as affective speech processing, affective facial expressions, affective body gesture and movement, affective multi-modal systems, etc.

• Offers a foundational introductory chapter that grounds readers in core concepts and principles

• Discusses applications of this technology, such as in education against bullying

• Provides summarising conclusions throughout

• Describes affect in multimodal information

• Looks at cognitive emotion modelling in natural language communication

• Explores emotion perception and recognition from speech, and based on multimodal information

• Includes face animation based on a large audio-visual database

• Presents physiological sensing for affective computing

• Examines evolutionary expression of emotions in virtual humans using lights and pixels

Written to provide an opportunity for scientists, engineers and graduate students to explore the difficulties, solutions and technologies in this exciting new area, this ground-breaking book provides a comprehensive overview and significant insight into the field and will prove a valuable reference tool and resource.

Keywords

Affect Affective Computing Affective Information Processing Animation Multimodal Information User Interface emotion recognition facial expression recognition human-computer interaction (HCI) multimodal interaction

Editors and affiliations

  • Jianhua Tao
    • 1
  • Tieniu Tan
    • 1
  1. 1.Institute of Automation, Chinese Academy of SciencesHaidianP.R. China

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84800-306-4
  • Copyright Information Springer London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84800-305-7
  • Online ISBN 978-1-84800-306-4
  • About this book