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Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain

Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5576397

Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain

About this item

Full title

Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

BioMed research international, 2017-01, Vol.2017 (2017), p.1-9

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

This paper introduces a method for feature extraction and emotion recognition based on empirical mode decomposition (EMD). By using EMD, EEG signals are decomposed into Intrinsic Mode Functions (IMFs) automatically. Multidimensional information of IMF is utilized as features, the first difference of time series, the first difference of phase, and t...

Alternative Titles

Full title

Emotion Recognition from EEG Signals Using Multidimensional Information in EMD Domain

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5576397

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5576397

Other Identifiers

ISSN

2314-6133

E-ISSN

2314-6141

DOI

10.1155/2017/8317357

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