Emotion and Facial Recognition in Artificial Intelligence: Sustainable Multidisciplinary Perspectives and Applications

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Introduction to Emotion Expression and AI.- Theories of Emotions in Psychology.- Classical Face Recognition: Geometric Models, Subspace Techniques and Local Descriptors.- Integrating Acoustic Feature Extraction And LSTM Models For Emotion Classification In Speech.- Emotion Detection in Human-Machine Interaction Using ML Techniques.- Real Time: 3D Facial Expression Recognition Using Improved Alex-Net Convolutional Network via Deep-Emotion.- Feature Aggregation for Efficient Continual Learning of Complex Facial Expressions.- Advanced Techniques In Facial Landmark Detection And Feature Extraction For Emotion-Aware AI Systems.- Detection of Micro-expressions and Subtle Emotions.- Navigating the Future of Emotion AI: Technical Barriers, Ethical Concerns, and Sustainable Advancements.- Emotion AI in Mental Health.- A Conceptual Framework for Adaptive Student Assessment Using AI-Driven Recommendations and Facial Expression Recognition.- Integrating AI-Driven Facial Emotion Recognition into E-Learning Systems: Sustainable Educational Markets through Interdisciplinary Innovations.- Integrating Positive Emotions to Support Self-Directed Learning.- Emotion AI in Business and Customer Services.- Deep Learning Approaches and Technical Challenges in Facial Emotion Recognition (FER).- Emotion Recognition and the Law: Bridging Technology and Human Rights.- Emotion AI: Challenges and Future Directions.

Produktdetails
  • Erscheinungsdatum: 11.02.2026
  • Autor/Autorin: Khadija Slimani
  • Reihe: Intelligent Technologies and Robotics (R0)
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 16.1 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 364 Seiten
  • ISBN: 9783032147783
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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