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

Volume

5

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

107

Lastpage

111

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.338

Filename

5366745