Emotion recognition system based on MAPL

Author

Huiping Jiang ; Xiaoyuan Song ; Zhengjie Zhou

Author_Institution

MinZu Univ. of China, Beijing, China

fYear

2014

fDate

27-29 June 2014

Firstpage

581

Lastpage

584

Abstract

A EEG signal-based emotion recognition system was designed. The system was developed to operate as a user-independent system, based on MAPL (minority affective picture library), EEG-signal database obtained from multiple ethnic objections. The system consisted of preprocessing, feature extraction and pattern classification stages. Preprocessing and feature extraction methods were devised so that emotion-specific characteristics could be extracted. a simple experiment was carried out, and the classification result is about 56.4%, which indicated that minorities emotion problems can be studied based MPAL emotion recognition system.

Keywords

electroencephalography; emotion recognition; feature extraction; medical image processing; pattern classification; EEG signal; MAPL; emotion recognition system; feature extraction; minority affective picture library; pattern classification; user-independent system; Classification algorithms; Computers; Electroencephalography; Emotion recognition; Feature extraction; Physiology; Support vector machines; Ethnic emotion; MAPL(minority affective picture library); Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on

Conference_Location

Beijing

ISSN

2327-0586

Print_ISBN

978-1-4799-3278-8

Type

conf

DOI

10.1109/ICSESS.2014.6933635

Filename

6933635