A real-time wearable emotion detection headband based on EEG measurement

Wei, Y. ORCID: 0000-0001-6195-8595, Wu, Y. and Tudor, J., 2017. A real-time wearable emotion detection headband based on EEG measurement. Sensors and Actuators A - Physical, 263, pp. 614-621. ISSN 0924-4247

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Abstract

A real-time emotion detection system based on electroencephalogram (EEG) measurement has been realised by means of an emotion detection headband coupled with printed signal acquisition electrodes and open source signal processing software (OpenViBE). Positive and negative emotions are the states classified and the Theta, Alpha, Beta and Gamma frequency bands are selected for the signal processing. It is found that, by using a combination of Power Spectral Density (PSD), Signal Power (SP) and Common Spatial Pattern (CSP) as the features, the highest subject-dependent accuracy (86.83%) and independent accuracy (64.73%) is achieved, when using Linear Discrimination Analysis (LDA) as the classification algorithm. The standard deviation of the results is 5.03. The electrode locations were then improved for the detection of emotion, by moving them from F1, F2, T3 and T4 to A1, F2, F7 and F8. The subject-dependent accuracy, using the improved locations, increased to 91.75% from 86.83% and 75% of participants achieved a classification accuracy higher than 90%, compared with only 16% of participants before improving the electrode arrangement.

Item Type: Journal article
Publication Title: Sensors and Actuators A - Physical
Creators: Wei, Y., Wu, Y. and Tudor, J.
Publisher: Elsevier
Date: August 2017
Volume: 263
ISSN: 0924-4247
Identifiers:
NumberType
10.1016/j.sna.2017.07.012DOI
S092442471631192XPublisher Item Identifier
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 02 Jul 2019 08:03
Last Modified: 02 Jul 2019 08:03
URI: http://irep.ntu.ac.uk/id/eprint/36994

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