Title :
Emotion detection using psycho-physiological signal processing
Author :
Ioana Safta;Ovidiu Grigore;Constantin Căruntu
Author_Institution :
Department of Mobile Communications, Faculty of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania
fDate :
5/1/2011 12:00:00 AM
Abstract :
The purpose of this paper is to assess the value of physiological responses as specific indicators of emotion. Our study consisted of 4 stages: emotion induction, signal recording, signal processing (feature extraction) and pattern classification (detection). The emotion induction protocol was based on the presentation of emotionally-evocative images from IAPS (The international Affective Picture System) to the subject. The signal used to analyze physiological response is EDA (electrodermal activity). We were able to differentiate between 2 classes of emotion: pleasant and unpleasant.
Keywords :
"Thyristors","Support vector machine classification","Skin","Classification algorithms","Training","Biomedical imaging","Stress"
Conference_Titel :
Advanced Topics in Electrical Engineering (ATEE), 2011 7th International Symposium on
Print_ISBN :
978-1-4577-0507-6
