Recognizing Human Emotion patterns by applying Fast Fourier Transform based on Brainwave Features

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dc.contributor.authorYudhana, Anton
dc.contributor.authorMukhopadhyay, Subhas
dc.contributor.authorKaras, Ismail Rakip
dc.contributor.authorAzhari, Ahmad
dc.contributor.authorMardhia, Murein Miksa
dc.contributor.authorAkbar, Son Ali
dc.contributor.authorMuslim, Akbar
dc.date.accessioned2024-09-29T16:04:29Z
dc.date.available2024-09-29T16:04:29Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description1st International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) -- OCT 24-25, 2019 -- Jakarta, INDONESIAen_US
dc.description.abstractThe natural ability of humans to receive messages from the surrounding environment can be obtained through the senses. The senses will respond to stimuli received in various conditions including emotional conditions. Psychologically, recognizing human emotions directly can be assessed from several criteria, such as facial expressions, sounds, or body movements. This research aims to analyze human emotions from the biomedical side through brainwave signals using EEG sensors. The EEG signal obtained will be extracted using Fast Fourier Transform and first-order statistical features. Monitoring of EEG Signals is obtained by grouping based on four emotional conditions (normal, focus, sadness and shock emotions). The results of this research are expected to help improve users in knowing their mental state accurately. The development of this kind of emotional analysis has the potential to create wide applications in the future environment. Research results have shown and compared frequency stimuli from normal emotions, sadness, focus and shock in a variety of situations.en_US
dc.description.sponsorshipPDUPT Research Grant Program from The Ministry of Research and Higher Education of Indonesia [PDUPT-019/SKPP.TJ/LPPM UAD/III/2019]en_US
dc.description.sponsorshipThis research was fully supported by PDUPT Research Grant Program from The Ministry of Research and Higher Education of Indonesia in academic year 2018/2019 within the contract number of PDUPT-019/SKPP.TJ/LPPM UAD/III/2019.en_US
dc.identifier.doi10.1109/icimcis48181.2019.8985227
dc.identifier.endpage254en_US
dc.identifier.isbn978-1-7281-2930-3
dc.identifier.scopus2-s2.0-85081096212en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage249en_US
dc.identifier.urihttps://doi.org/10.1109/icimcis48181.2019.8985227
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6146
dc.identifier.wosWOS:000543935900043en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 International Conference On Informatics, Multimedia, Cyber and Information System (Icimcis)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEmotionen_US
dc.subjectElectroencephalography (EEG)en_US
dc.subjectFast Fourier Transform (FFT)en_US
dc.subjectBrainwaveen_US
dc.titleRecognizing Human Emotion patterns by applying Fast Fourier Transform based on Brainwave Featuresen_US
dc.typeConference Objecten_US

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