EEG-Enabled Affective Applications

Author

Sourina, Olga ; Yisi Liu

Author_Institution

Fraunhofer IDM, NTU Nanyang Technol. Univ., Singapore, Singapore

fYear

2013

fDate

2-5 Sept. 2013

Firstpage

707

Lastpage

708

Abstract

Using Electroencephalogram (EEG) signals for affective interaction can make interfaces more intuitive. This project includes development of different affective applications based on an EEG-based real-time emotion recognition algorithm. The algorithm is subject-dependent one and consists from two parts: feature extraction and classification. The algorithm can recognize up to eight emotions with good accuracy. The demo includes affective games and emotional avatar applications. After a short session to train the classifier, an application is able to monitor the user´s emotions, and the recognized emotions are used as the input to the applications.

Keywords

avatars; behavioural sciences computing; electroencephalography; emotion recognition; signal classification; EEG-based real-time emotion recognition algorithm; EEG-enabled affective applications; affective games; affective interaction; electroencephalogram signals; emotional avatar applications; feature classification; feature extraction; recognized emotions; user emotions; Avatars; Classification algorithms; Color; Electroencephalography; Emotion recognition; Games; Real-time systems; EEG; affective applications; affective computing; emotion classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on

Conference_Location

Geneva

ISSN

2156-8103

Type

conf

DOI

10.1109/ACII.2013.125

Filename

6681516