Literature review on brain computer interface (BCI) feature extraction using EEG signals
dc.contributor.author | Mumtaz, A. | |
dc.contributor.author | Elawady, I. | |
dc.contributor.author | Karas, I.R. | |
dc.date.accessioned | 2024-09-29T16:21:04Z | |
dc.date.available | 2024-09-29T16:21:04Z | |
dc.date.issued | 2024 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description | 2022 Transdisciplinary Symposium on Engineering and Technology: Development of Digital and Green Technology on Post Pandemic Era, TSET 2022 -- 21 September 2022 -- Yogyakarta -- 201017 | en_US |
dc.description.abstract | Brain-Computer Interface (BCI) technologies allow impaired people without motor response to communicate with computers using brain signals. BCIs translate brain activity into computer commands. BCI research struggles to extract properties from EEG data with random time-varying oscillations and identify them as accurately as possible. The purpose of this work is to offer a fundamental overview of EEG signals and BCI technology. The report also contains an overview of the typical techniques used for extraction of signal features. © 2024 Author(s). | en_US |
dc.identifier.doi | 10.1063/5.0201283 | |
dc.identifier.issn | 0094-243X | |
dc.identifier.issue | 1 | en_US |
dc.identifier.scopus | 2-s2.0-85199017551 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://doi.org/10.1063/5.0201283 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/9522 | |
dc.identifier.volume | 3077 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | American Institute of Physics | en_US |
dc.relation.ispartof | AIP Conference Proceedings | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Literature review on brain computer interface (BCI) feature extraction using EEG signals | en_US |
dc.type | Conference Object | en_US |