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Affective Computing | IntechOpen

Affective Computing is an open-access, peer-reviewed edited volume that explores state-of-the-art research in the field. Edited by Jimmy Or, it offers insights into facial expression synthesis, emotional expression through body movements, computational models of emotion, and practical applications.

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Affective Computing, edited by Jimmy Or, is a comprehensive open-access book that delves into the latest research in the field of affective computing. Published by IntechOpen in 2008, this peer-reviewed volume consists of 23 chapters organized into four sections. The book begins with an exploration of facial expression synthesis and recognition, highlighting the importance of facial expressions in human communication. The second section focuses on the perception and generation of emotional expressions through full-body motions, providing insights into how body language complements facial expressions in conveying emotions.

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The third section of the book presents computational models of emotion, integrating findings from neuroscience research to offer a deeper understanding of emotional processes. The final section discusses various applications of affective computing, showcasing practical implementations and potential future developments in the field. With contributions from experts worldwide, Affective Computing is a valuable resource for researchers, students, and professionals interested in the intersection of technology and human emotions.

The book has achieved significant impact, with over 101,178 chapter downloads and numerous citations, reflecting its influence in the academic community. Available in both hardcover and PDF formats, it offers a wealth of knowledge for those seeking to understand and apply affective computing concepts.

  • CategoryOther AI Tools

  • Open access peer-reviewed volume

  • Edited by Jimmy Or

  • Published by IntechOpen

  • 23 chapters in four sections

  • Focus on facial expression synthesis

  • Exploration of full-body emotional expressions

  • Computational models of emotion

  • Applications of affective computing

  • Facial Expression Analysis
  • Body Language Interpretation
  • Emotion Modeling
  • Affective Computing Applications
  • Neuroscience Integration

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