A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data

Veerabhadrappa, Rakesh; Hettiarachchi, Imali; Algumaei, My; Bhatti, Asim

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A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data

conference contribution

posted on 2021-01-01, 00:00 authored by Rakesh Veerabhadrappa, Imali HettiarachchiImali Hettiarachchi, My Algumaei, Asim BhattiAsim Bhatti

A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data

History

Event

Systems, Man, and Cybernetics. Conference (2021 : Melbourne, Vic.)

Pagination

1 - 6

Publisher

IEEE

Location

Melbourne, Vic.

Place of publication

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/smc52423.2021.9658792

Start date

2021-10-17

End date

2021-10-20

ISSN

1062-922X

eISSN

2577-1655

ISBN-13

9781665442084

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics

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A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data

Research Publications

Keywords

Science & Technology Technology Computer Science, Cybernetics Computer Science, Information Systems Computer Science EEG emotion recognition 1-D convolution multi-channel computation physiological signals DIFFERENTIAL ENTROPY FEATURE VIGILANCE

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A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data

History

Event

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

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eISSN

ISBN-13

Language

Publication classification

Title of proceedings

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Read the peer-reviewed publication

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