Title :
An Application of Electrocardiography to Emotion Recognition
Author :
Min, Hao ; Liu Guang Yuan ; Chang-wei, Ma ; Jing, Cai
Author_Institution :
Sch. of Electron. & Inf. Eng., Southwest Univ., Chongqing, China
Abstract :
Emotion recognition based on physiological signals has become more and more prevalent in the field of affective computing. Through the collection and analysis of electrocardiography (ECG), a reasonable method about evolution strategies has been improved to feature selection. With the recognition of two emotions on joy and sadness, effective features which can be representative of some emotion are obviously obtained. It is shown in the experiments that some effective features can be utilized for emotion recognition.
Keywords :
electrocardiography; emotion recognition; feature extraction; medical signal processing; ECG; electrocardiography analysis; emotion recognition; evolution strategies; feature extraction; feature selection; physiological signals; Algorithm design and analysis; Computer aided instruction; Computer applications; Data acquisition; Data mining; Design optimization; Electrocardiography; Emotion recognition; Feature extraction; Psychology; ECG; emotion recognition; evolution strategies; feature extraction; feature selection;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.338
