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Machine learning for face, emotion, and pain recognition / by Gholamreza Anbarjafari, Jelena Gorbova, Rain Eric Hammer, Pejman Rasti, and Fatemeh Noroozi.

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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Bibliographic Details
Online Access: Full Text (via SPIE Digital Library)
Main Authors: Anbarjafari, Gholamreza (Author), Gorbova, Jelena (Author), Hammer, Rain Eric (Author), Rasti, Pejman (Author), Noroozi, Fatemeh (Author)
Format: eBook
Language:English
Published: Bellingham, Washington : SPIE Press, [2018]
Series:SPIE spotlight series.
Subjects:
Human face recognition (Computer science)
Emotion recognition.
Table of Contents:
  • 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.

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