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CNN and LSTM-Based Emotion Charting Using Physiological Signals

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dc.contributor.authorDar, Muhammad Najam
dc.contributor.authorAkram, Muhammad Usman
dc.contributor.authorKhawaja, Sajid Gul
dc.contributor.authorPujari, Amit N.
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.date.accessioned2020-08-18T09:20:01Z
dc.date.available2020-08-18T09:20:01Z
dc.date.issued2020-08-14
dc.description.statusPeer revieweden
dc.format.extent26
dc.format.extent1210456
dc.identifier173887325
dc.identifierda23372a-8f91-49d5-b2b7-5ba32290de97
dc.identifier85089387052
dc.identifier32823807
dc.identifier.citationDar, M N, Akram, M U, Khawaja, S G & Pujari, A N 2020, 'CNN and LSTM-Based Emotion Charting Using Physiological Signals', Sensors, vol. 20, no. 16, 4551. https://doi.org/10.3390/s20164551en
dc.identifier.doi10.3390/s20164551
dc.identifier.iss16en
dc.identifier.issn1424-8220
dc.identifier.otherORCID: /0000-0003-1688-4448/work/78819713
dc.identifier.urihttps://hdl.handle.net/2164/14940
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85089387052&partnerID=8YFLogxKen
dc.identifier.vol20en
dc.language.isoeng
dc.relation.ispartofSensorsen
dc.subjectConvolutional neural network (CNN)en
dc.subjectlong short-term memory (LSTM)en
dc.subjectemotion recognitionen
dc.subjectEEGen
dc.subjectECGen
dc.subjectGSRen
dc.subjectdeep neural networken
dc.subjectphysiological signalsen
dc.subjectEmotion recognitionen
dc.subjectDeep neural networken
dc.subjectPhysiological signalsen
dc.subjectLong short-term memory (LSTM)en
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectAnalytical Chemistryen
dc.subjectInstrumentationen
dc.subjectAtomic and Molecular Physics, and Opticsen
dc.subjectElectrical and Electronic Engineeringen
dc.subjectBiochemistryen
dc.subject.lccTAen
dc.titleCNN and LSTM-Based Emotion Charting Using Physiological Signalsen
dc.typeJournal articleen

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