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A survey on face emotion recognition and applications

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Main Authors: Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Ramachandran, Nagarajan
Format: Article
Language:English
Published: Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE) 2009
Subjects:
Face emotion
Recognition system
Face Emotion Recognition (FER)
Detectors
Neural networks (Computer science)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6438
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spelling my.unimap-64382009-07-14T04:23:22Z A survey on face emotion recognition and applications Muthukaruppan, Karthigayan Mohd Rizon, Mohamed Juhari Ramachandran, Nagarajan Face emotion Recognition system Face Emotion Recognition (FER) Detectors Neural networks (Computer science) Link to publisher's homepage at http://www.amse-modeling.org/Periodical_AMSE.html This paper presents a decade long research efforts of recognizing human emotion conveyed through facial expressions (face emotion). Face emotion recognition starts from processing still and video camera images and identifying the variations of features of face elements such as eyes, lips etc. Due to developments of bio-sensors, emotion measurement and categorization have been performed by processing bio-signals, for example, EMG and EEG, measured from the surface of human body. Several other bio-activities generated from within the human body such as temperature variations, changes in skin color, pulse rate and blood pressure variations were also used in recognizing the emotion. Several processing methodologies documented by researchers are presented in this paper with their relative merits and applications. Emotion controlled robots are in the increase to help severely disabled and aged persons to have a comfortable life. The objective of this paper is to illustrates how experts in various research areas such as sensor development, data acquisition, signal processing, emotion detection, emotion categorization and emotion controlled robotics are coming together to help the blind, dumb, disabled and aged people to lead a comfortable life. 2009-07-14T04:23:21Z 2009-07-14T04:23:21Z 2007 Article Advances in Modelling : Series B : Signal Processing and Pattern Recognition , vol.50 (3), pages 42-64. 0761-2486 http://hdl.handle.net/123456789/6438 en Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Face emotion
Recognition system
Face Emotion Recognition (FER)
Detectors
Neural networks (Computer science)
spellingShingle Face emotion
Recognition system
Face Emotion Recognition (FER)
Detectors
Neural networks (Computer science)
Muthukaruppan, Karthigayan
Mohd Rizon, Mohamed Juhari
Ramachandran, Nagarajan
A survey on face emotion recognition and applications
description Link to publisher's homepage at http://www.amse-modeling.org/Periodical_AMSE.html
format Article
author Muthukaruppan, Karthigayan
Mohd Rizon, Mohamed Juhari
Ramachandran, Nagarajan
author_facet Muthukaruppan, Karthigayan
Mohd Rizon, Mohamed Juhari
Ramachandran, Nagarajan
author_sort Muthukaruppan, Karthigayan
title A survey on face emotion recognition and applications
title_short A survey on face emotion recognition and applications
title_full A survey on face emotion recognition and applications
title_fullStr A survey on face emotion recognition and applications
title_full_unstemmed A survey on face emotion recognition and applications
title_sort survey on face emotion recognition and applications
publisher Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6438
_version_ 1643788564811481088
score 13.214268

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