This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Electrocardiography Recording, Feature Extraction and Classification for Emotion Recognition
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
Electrocardiography (ECG) data acquisition, data preprocessing, feature extraction and emotion recognition based on ECG feature classification were effectively implemented. Joy and sad movies were selected and presented to 154 subjects whose ECGdata were recorded at the movie presentation time. The automatic location of QRS complex, which is of critical importance for ECG feature extraction by the computer, was performed by non-linear transformation on the first derivative of the ECG. By means of Tab search, the best combination of the ECG features was selected for classification. The ECG data were classified into certain cluster by Fisher projection.
Index Terms:
emotion recognition, physical signal, feature selection, Tabu search
Citation:
Wen Wan-Hui, Qiu Yu-Hui, Liu Guang-Yuan, "Electrocardiography Recording, Feature Extraction and Classification for Emotion Recognition," csie, vol. 4, pp.168-172, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.