Visual affect recognition /

It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Stathopoulou, Ioanna-Ourania
Other Authors: Tsihrintzis, George A.
Format: Electronic eBook
Language:English
Published: Washington, D.C. : IOS Press, 2010
Series:Frontiers in artificial intelligence and applications. Knowledge-based intelligent engineering systems ; v. 214.
Subjects:
Local Note:ProQuest Ebook Central
Table of Contents:
  • Machine generated contents note: 1.1. Motivation
  • 1.2. Organization of this monograph
  • 2.1. Emotion vs affect vs feelings
  • 2.2. Emotions and culture
  • 2.2.1. Basic Emotions
  • 2.2.2. Culturally Specific Expressions of Emotions
  • 2.2.3. Higher Cognitive Emotions
  • 2.3. Neurobiology and Emotion Expression
  • 2.3.1. Cerebral Cortex
  • 2.3.2. Amygdala
  • 2.3.3. Superior Temporal Sulcus
  • 2.3.4. Implicit and Explicit Perception of Emotion
  • 2.4. Expression of Emotion
  • 2.4.1. Written Language
  • 2.4.2. Speech
  • 2.4.3. Facial Expressions
  • 2.4.4. Body movements and Hand gestures
  • 2.5. Facial Expression of Emotion
  • 2.5.1. Previous Attempts to Facial Emotion Quantification and Classification
  • 2.5.2. External Factors in Facial Emotion Perception
  • 2.5.3. Face and Facial Expressions Their Role
  • 2.6. Importance of Understanding Emotions
  • 2.7. Meeting Emotional Needs with the Help of Advanced Human-Computer Interaction Techniques
  • 2.7.1. Supporting emotional skill needs
  • 2.7.2. Supporting experiential needs
  • 3.1. Face Databases
  • 3.1.1. Specifying Requirements for an Ideal Facial Expression Database
  • 3.1.2. Previous Facial Expression Databases
  • 3.1.3. Section Summary
  • Results
  • 3.2. Face Detection
  • 3.2.1. Specifying Requirements for an Ideal Face Detection System
  • 3.2.2. Previous Works on Face Detection
  • 3.2.3. Section Summary
  • Results
  • 3.3. Facial Expression Classification System
  • 3.3.1. Specifying Requirements for our Facial Expression Classification System
  • 3.3.2. Facial Expression Classification Approaches
  • 3.3.3. Section Summary
  • Results
  • 4.1. Database of Low Quality Face Images (DBLQFI)
  • 4.2. Database of High Quality Face Images (DBHQFI)
  • 5.1. Preliminary Questionnaires
  • 5.2.