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Multimodal Affective Computing Technologies and Applications in Learning Environments /

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...

Повний опис

Збережено в:
Бібліографічні деталі
Автори: Cabada, Ramón Zatarain (Автор), López, Héctor Manuel Cárdenas (Автор), Escalante, Hugo Jair (Автор)
Співавтор: SpringerLink (Online service)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer International Publishing : Imprint: Springer, 2023.
Редагування:1st ed. 2023.
Предмети:
Machine learning.
Learning, Psychology of.
Pattern recognition systems.
User interfaces (Computer systems).
Human-computer interaction.
Machine Learning.
Learning Theory.
Automated Pattern Recognition.
User Interfaces and Human Computer Interaction.
Онлайн доступ:https://doi.org/10.1007/978-3-031-32542-7
Теги: Додати тег
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Зміст:
  • 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.

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