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An AI-Inspired Spatio-Temporal Neural Network for EEG-Based Emotional Status

An AI-Inspired Spatio-Temporal Neural Network for EEG-Based Emotional Status

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b27afc4efd9f47a8b58d3dbf76cc816b

An AI-Inspired Spatio-Temporal Neural Network for EEG-Based Emotional Status

About this item

Full title

An AI-Inspired Spatio-Temporal Neural Network for EEG-Based Emotional Status

Author / Creator

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-01, Vol.23 (1), p.498

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The accurate identification of the human emotional status is crucial for an efficient human–robot interaction (HRI). As such, we have witnessed extensive research efforts made in developing robust and accurate brain–computer interfacing models based on diverse biosignals. In particular, previous research has shown that an Electroencephalogram (EEG)...

Alternative Titles

Full title

An AI-Inspired Spatio-Temporal Neural Network for EEG-Based Emotional Status

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b27afc4efd9f47a8b58d3dbf76cc816b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b27afc4efd9f47a8b58d3dbf76cc816b

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23010498

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