Emotion Recognition of Humans using modern technology of AI: A Survey

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dc.contributor.authorAlheeti, A.A.M.
dc.contributor.authorSalih, M.M.M.
dc.contributor.authorMohammed, A.H.
dc.contributor.authorHamood, M.A.
dc.contributor.authorKhudhair, N.R.
dc.contributor.authorShakir, A.T.
dc.date.accessioned2024-09-29T16:20:53Z
dc.date.available2024-09-29T16:20:53Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description7th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2023 -- 23 November 2023 through 25 November 2023 -- Istanbul -- 196776en_US
dc.description.abstractThis comprehensive investigation and evaluation of the subject matter of emotion recognition is presented, focusing on the broader implications for society at large. The study utilizes a thorough analysis of scholarly literature and practical observations to establish a theoretical framework that facilitates comprehension of the topic under investigation. The findings have considerable implications for future investigations and pragmatic applications. Emotion recognition holds immense importance in diverse domains such as human-computer interaction and healthcare. The analysis of techniques used for emotional recognition includes facial expression assessment, speech patterns analysis, physiological signal interpretation, music perception, and written expression evaluation. The study presents a comprehensive overview of research methodologies commonly used in emotion recognition, discussing datasets, feature extraction techniques, and classification algorithms. The analysis of challenges and limitations pertaining to emotion recognition systems, including privacy concerns, is also discussed. Performance evaluation is analyzed through various methods, including machine assessment and self-report. The significance of continued investigation within the domains encompassing data integration across diverse modalities, the creation of robust classification algorithms, and the exploration of the intricate connection between the brain and affective states is underscored. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ISAS60782.2023.10391385
dc.identifier.isbn979-835038306-5
dc.identifier.scopus2-s2.0-85184806696en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISAS60782.2023.10391385
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9373
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofISAS 2023 - 7th International Symposium on Innovative Approaches in Smart Technologies, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDataseten_US
dc.subjectEmotionen_US
dc.subjectHumanen_US
dc.subjectMethodsen_US
dc.subjectRecognitionen_US
dc.subjectTechnologyen_US
dc.titleEmotion Recognition of Humans using modern technology of AI: A Surveyen_US
dc.typeConference Objecten_US

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