Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93568
Title: Automatic facial expression recognition system (AFER)
Authors: Kind, Adrian (2009)
Keywords: Facial expression
Human-computer interaction
Emotion recognition
Issue Date: 2009
Citation: Kind, A. (2009). Automatic facial expression recognition system (AFER) (Bachelor's dissertation).
Abstract: Facial Expressions are a very powerful, and the fastest means of communication between human beings. Facial expressions allow people to express their intentions and emotions before they are able to verbalize or even before they realize their own feelings. In this thesis we present a Real - Time Automatic Facial Expression Recognition System which is capable of identifying seven expressions which are: happiness, sadness, fear, anger, neutral, surprise and disgust. This will be another step forward in human computer interaction. Our approach is built from seven main components: Video Capture, Face Detection, Face Normalization, Feature Detection, Feature Extraction, Classification of Action Units defined in the Facial Action Coding System and finally a rule based Emotion Recognition Engine is capable of determining the emotion from a combination of active action units.
Description: B.Sc. IT (Hons)(Melit.)
URI: https://www.um.edu.mt/library/oar/handle/123456789/93568
Appears in Collections:Dissertations - FacICT - 1999-2009
Dissertations - FacICTCS - 2009

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