EEG Dataset for Genuine and Acted Emotional Expressions
We present here one of the first studies that attempt to differentiate between genuine and acted emotional expressions, using EEG data. We present the first EEG dataset with recordings of subjects with genuine and fake emotional expressions. We build our experimental paradigm for classification of s...
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creator | Al-Shargie, Fares Alex, Meera Al-Nashash, Hasan Tariq, Usman Mir, Hasan |
description | We present here one of the first studies that attempt to differentiate between genuine and acted emotional expressions, using EEG data. We present the first EEG dataset with recordings of subjects with genuine and fake emotional expressions. We build our experimental paradigm for classification of smiles; genuine smiles, fake/acted smiles and neutral expression. For the full details please refere to our paper entitled:Discrimination of Genuine and Acted Emotional Expressions using EEG Signal and Machine Learning |
doi_str_mv | 10.21227/haar-1q96 |
format | Dataset |
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We present the first EEG dataset with recordings of subjects with genuine and fake emotional expressions. We build our experimental paradigm for classification of smiles; genuine smiles, fake/acted smiles and neutral expression. For the full details please refere to our paper entitled:Discrimination of Genuine and Acted Emotional Expressions using EEG Signal and Machine Learning</description><identifier>DOI: 10.21227/haar-1q96</identifier><language>eng</language><publisher>IEEE DataPort</publisher><subject>Biomedical and Health Sciences ; EEG ; Emotions ; Machine Learning ; Standards Research Data</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-5792-8032</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.21227/haar-1q96$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Al-Shargie, Fares</creatorcontrib><creatorcontrib>Alex, Meera</creatorcontrib><creatorcontrib>Al-Nashash, Hasan</creatorcontrib><creatorcontrib>Tariq, Usman</creatorcontrib><creatorcontrib>Mir, Hasan</creatorcontrib><title>EEG Dataset for Genuine and Acted Emotional Expressions</title><description>We present here one of the first studies that attempt to differentiate between genuine and acted emotional expressions, using EEG data. We present the first EEG dataset with recordings of subjects with genuine and fake emotional expressions. We build our experimental paradigm for classification of smiles; genuine smiles, fake/acted smiles and neutral expression. For the full details please refere to our paper entitled:Discrimination of Genuine and Acted Emotional Expressions using EEG Signal and Machine Learning</description><subject>Biomedical and Health Sciences</subject><subject>EEG</subject><subject>Emotions</subject><subject>Machine Learning</subject><subject>Standards Research Data</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2020</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBAyNNAzMjQyMtfPSEws0jUstDTjZDB3dXVXcEksSSxOLVFIyy9ScE_NK83MS1VIzEtRcEwuSU1RcM3NL8nMz0vMUXCtKChKLS4Gcop5GFjTEnOKU3mhNDeDlptriLOHbgrQrOTMktT4gqLM3MSiynhDg3iwrfEgW-NBthqTpBgANHA5XA</recordid><startdate>20200930</startdate><enddate>20200930</enddate><creator>Al-Shargie, Fares</creator><creator>Alex, Meera</creator><creator>Al-Nashash, Hasan</creator><creator>Tariq, Usman</creator><creator>Mir, Hasan</creator><general>IEEE DataPort</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-5792-8032</orcidid></search><sort><creationdate>20200930</creationdate><title>EEG Dataset for Genuine and Acted Emotional Expressions</title><author>Al-Shargie, Fares ; Alex, Meera ; Al-Nashash, Hasan ; Tariq, Usman ; Mir, Hasan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_21227_haar_1q963</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biomedical and Health Sciences</topic><topic>EEG</topic><topic>Emotions</topic><topic>Machine Learning</topic><topic>Standards Research Data</topic><toplevel>online_resources</toplevel><creatorcontrib>Al-Shargie, Fares</creatorcontrib><creatorcontrib>Alex, Meera</creatorcontrib><creatorcontrib>Al-Nashash, Hasan</creatorcontrib><creatorcontrib>Tariq, Usman</creatorcontrib><creatorcontrib>Mir, Hasan</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Al-Shargie, Fares</au><au>Alex, Meera</au><au>Al-Nashash, Hasan</au><au>Tariq, Usman</au><au>Mir, Hasan</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>EEG Dataset for Genuine and Acted Emotional Expressions</title><date>2020-09-30</date><risdate>2020</risdate><abstract>We present here one of the first studies that attempt to differentiate between genuine and acted emotional expressions, using EEG data. We present the first EEG dataset with recordings of subjects with genuine and fake emotional expressions. We build our experimental paradigm for classification of smiles; genuine smiles, fake/acted smiles and neutral expression. For the full details please refere to our paper entitled:Discrimination of Genuine and Acted Emotional Expressions using EEG Signal and Machine Learning</abstract><pub>IEEE DataPort</pub><doi>10.21227/haar-1q96</doi><orcidid>https://orcid.org/0000-0002-5792-8032</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | DOI: 10.21227/haar-1q96 |
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subjects | Biomedical and Health Sciences EEG Emotions Machine Learning Standards Research Data |
title | EEG Dataset for Genuine and Acted Emotional Expressions |
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