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Detecting Depression Using a Multidimensional Model of Emotional States

Authors:
Imen Tayari Meftah
Nhan Le Thanh
Chokri Ben Amar

Keywords: depression; algebraic representation ; negative emotions; physiological signal.

Abstract:
Depression is a major problem in our society. It causes great pain and suffering for patients and their families. The purpose of this study is to detect persistent negative emotions for early detection of depression using physiological sensors. Therefore, we develop an automatic depression prevention tool using an algebraic model of emotional states. This algebraic model provides to represent emotions and provides powerful mathematical tools for the analysis and the processing of these emotions. It consists of representing and detecting negative emotions. Experiments show the efficiency of the proposed method in detecting negative emotions by giving high recognition rate.

Pages: 101 to 107

Copyright: Copyright (c) IARIA, 2012

Publication date: October 21, 2012

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-243-1

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012