Multimodal Affective Computing
eBook - ePub

Multimodal Affective Computing

Affective Information Representation, Modelling, and Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Multimodal Affective Computing

Affective Information Representation, Modelling, and Analysis

About this book

Affective computing is an emerging field situated at the intersection of artificial intelligence and behavioral science. Affective computing refers to studying and developing systems that recognize, interpret, process, and simulate human emotions. It has recently seen significant advances from exploratory studies to real-world applications. Multimodal Affective Computing offers readers a concise overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches in applied affective computing systems and social signal processing. It covers affective facial expression and recognition, affective body expression and recognition, affective speech processing, affective text, and dialogue processing, recognizing affect using physiological measures, computational models of emotion and theoretical foundations, and affective sound and music processing. This book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered.The book is an informative resource for academicians, professionals, researchers, and students at engineering and medical institutions working in the areas of applied affective computing, sentiment analysis, and emotion recognition.

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Yes, you can access Multimodal Affective Computing by Gyanendra K. Verma in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD
  6. PREFACE
  7. ACKNOWLEDGEMENTS
  8. Affective Computing
  9. Affective Information Representation
  10. Models and Theory of Emotion
  11. Affective Information Extraction, Processing and Evaluation
  12. Multimodal Affective Information Fusion
  13. Multimodal Fusion Framework and Multiresolution Analysis
  14. Emotion Recognition From Facial Expression In A Noisy Environment
  15. Spontaneous Emotion Recognition From Audio-Visual Signals
  16. Multimodal Fusion Framework: Emotion Recognition From Physiological Signals
  17. Emotions Modelling in 3D Space