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Visualising-Facial-Expression-Changes


Emotion recognition via facial expressions (ERFE) wis utilised in order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise).

Author: Grigorios Kalliatakis, University of Essex (gkallia@essex.ac.uk)

Copyright 2016, all rights reserved.

Release: v1.0

Licence: BSD (see COPYING file)

Introduction


Emotion recognition via facial expressions (ERFE) is a growing active research field in computer vision compared to other emotion channels, such as body actions and speech, primarily because superior expressive force and a larger application space is provided.

Overview


The facial expressions are grouped by the recognised emotions. The recognised emotions can be set visible by clicking the corresponding check-box. The four different emotions are represented by four different colors.

Paper and Licencing


If you use this code for your experiments, please cite:

G. Kalliatakis, N. Vidakis and G. Triantafyllidis
Web-based Visualisation of Head Pose and Facial Expressions Changes: Monitoring Human Activity Using Depth Data
8th Computer Science and Electronic Engineering, (CEEC) (2016)

A copy of the paper is available at:

Web demo of Results


http://83.212.117.19/FacialExpression3D/

Question and Comments


If you would like to file a bug report or a feature request, use the Github issue tracker.

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In order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise), emotion recognition via facial expressions (ERFE) was adopted

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