Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.130
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.
emotion recognition, physical signal, feature selection, Tabu search
Qiu Yu-Hui, Wen Wan-Hui, "Electrocardiography Recording, Feature Extraction and Classification for Emotion Recognition", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 168-172, doi:10.1109/CSIE.2009.130