D-CIS Publication Database

Publication

Type of publication:Inproceedings
Entered by:DD
Title Multimodal Web based system for human emotion recognition
Bibtex cite ID
Booktitle Proceedings ISC2007
Year published 2007
Month June
Pages 91-98
Publisher EUROSIS-ETI
Note ISBN 978-90-77381-34-2
Keywords Automatic emotion recognition,speech analysis,face detection,facial feature extraction,facial characteristic point extraction,AAM,SVM
Abstract
The system being described in the paper presents a Web interface for a fully automatic audio-video human emotion recognition. The analysis is focused on the set of six basic emotions plus the neutral type. Different classifiers are involved in the process of face detection (AdaBoost), facial expression recognition (SVM and other models) and emotion recognition from speech (GentleBoost). The Active Appearance Model - AAM is used to get the information related to the shapes of the faces to be analyzed. The facial expression recognition is frame based and no temporal patterns of emotions are managed. The emotion recognition from movies is done separately on sound and video frames. The algorithm does not handle the dependencies between audio and video during the analysis. The methodologies for data processing are explained and specific performance measures for the emotion recognition are presented.
Authors
Datcu, Dragos
Rothkrantz, Leon
Topics
=SEE CLASSIFICATION DIFFERENCE FROM OTHERS=
BibTeXBibTeX
RISRIS
Attachments
http://mmi.tudelft.nl/pub/dragos/isc2007.pdf (main file)
 
Total mark: 5