Machine learning for face, emotion, and pain recognition

This Spotlight explains how to build an automated system for face, emotion, and pain recognition. These steps include pre-processing, face detection and segmentation, feature extraction, and finally and most importantly, recognition to classify features and show the accuracy of the system. State-of-...

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Bibliographische Detailangaben
Hauptverfasser: Anbarjafari, Gholamreza ca. 20./21. Jh (VerfasserIn), Gorbova, Jelena (VerfasserIn), Hammer, Rain Eric (VerfasserIn), Rasti, Pejman (VerfasserIn), Noroozi, Fatemeh ca. 20./21. Jh (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Bellingham, Washington, USA SPIE Press [2018]
Schriftenreihe:SPIE spotlight series vol. SL37
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Inhaltsangabe:
  • 1. Introduction
  • 2. Face recognition: 2.1. Introduction; 2.3. PDF-based face recognition; 2.4. Data fusion
  • 3. Emotion recognition: 3.1. Speech-based emotion recognition; 3.2. Other modalities; 3.3. Gesture-based emotion recognition; 3.4. Face-expression recognition
  • 4. Pain recognition
  • 5. Face databases: 5.1. Elicitation methods; 5.2. Categories of emotion; 5.3. Database types; 5.4. Pain databases
  • Acknowledgments
  • References