Multimodal affective computing : technologies and applications in learning environments / Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante.

This book explores AI methodologies for the implementation of affective states in intelligent learning environments. Divided into four parts, Multimodal Affective Computing: Technologies and Applications in Learning Environments begins with an overview of Affective Computing and Intelligent Learning...

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Bibliographic Details
Main Author: Cabada, Ramón Zatarain
Other Authors: López, Héctor Manuel Cárdenas, Escalante, Hugo Jair
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Part I: Fundamentals
  • Chapter 1. Affective Computing
  • Chapter 2. Machine learning and pattern recognition in affective computing
  • Chapter 3. Affective Learning Environments
  • Part II: Sentiment Analysis for Learning Environments
  • Chapter 4. Building resources for sentiment detection
  • Chapter 5. Methods for data representation
  • Chapter 6. Designing and testing the classification models
  • Chapter 7. Model integration to a learning system
  • Part III: Multimodal Recognition of Learning-Oriented Emotions
  • Chapter 8. Building Resources for Emotion Detection
  • Chapter 9. Methods for Data Representation
  • Chapter 10. Multimodal recognition systems
  • Chapter 11. Multimodal emotion recognition in learning environments
  • Part IV: Automatic Personality Recognition
  • Chapter 12. Building resources for personality recognition
  • Chapter 13. Methods for data representation
  • Chapter 14. Personality recognition models
  • Chapter 15. Multimodal personality recognition for affective computing.