Beyin Bilgisayar Arayüzü Uygulamalari için Dinlenme, Harekete Niyet ve Hareket Ayırma
| dc.contributor.author | Oztürk, Nedime | |
| dc.contributor.author | Yilmaz, Bulent | |
| dc.date.accessioned | 2025-09-25T10:37:12Z | |
| dc.date.available | 2025-09-25T10:37:12Z | |
| dc.date.issued | 2018 | |
| dc.description | Karakullukcu, Nedime/0000-0002-1698-3705; | en_US |
| dc.description.abstract | Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained from multiple electrodes placed on the scalp (EEG, Electroencephalogram) are used. Emotiv Epoc used to obtain EEG signals is a low-cost device and has real-time applications. The aim of this study is the detection of rest, imagination and real movement using EEG signals obtained by Emotiv Epoc headset. As a result, As a result, the data obtained from 39 trials from a female subject were classified resting, motion imagination and movement, according to 97.4% accuracy by using the statistical features of distortion, logarithm energy entropy, energy, Shannon entropy and kurtosis. In this study, it has been shown that this system can be remarkably successful for BCI applications. © 2019 Elsevier B.V., All rights reserved. | en_US |
| dc.identifier.doi | 10.1109/TIPTEKNO.2018.8597152 | |
| dc.identifier.isbn | 9781538668528 | |
| dc.identifier.scopus | 2-s2.0-85061758948 | |
| dc.identifier.uri | https://doi.org/10.1109/TIPTEKNO.2018.8597152 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/2935 | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | -- 2018 Medical Technologies National Congress, TIPTEKNO 2018 -- Magusa -- 144203 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Brain Computer Interface | en_US |
| dc.subject | EEG | en_US |
| dc.subject | EEG Signal Processing | en_US |
| dc.subject | First-Order Statistics Features | en_US |
| dc.subject | Motor Imagery | en_US |
| dc.subject | Biomedical Engineering | en_US |
| dc.subject | Computer Control Systems | en_US |
| dc.subject | Electroencephalography | en_US |
| dc.subject | Signal Processing | en_US |
| dc.subject | Brain-Computer Interface Applications | en_US |
| dc.subject | EEG Signal Processing | en_US |
| dc.subject | First-Order Statistics | en_US |
| dc.subject | Low-Cost Devices | en_US |
| dc.subject | Motor Imagery | en_US |
| dc.subject | Multiple Electrodes | en_US |
| dc.subject | Real-Time Application | en_US |
| dc.subject | Statistical Features | en_US |
| dc.subject | Brain Computer Interface | en_US |
| dc.title | Beyin Bilgisayar Arayüzü Uygulamalari için Dinlenme, Harekete Niyet ve Hareket Ayırma | en_US |
| dc.title.alternative | Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Karakullukcu, Nedime/0000-0002-1698-3705 | |
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| gdc.author.scopusid | 57189925966 | |
| gdc.author.wosid | Yılmaz, Bülent/Acr-8602-2022 | |
| gdc.author.wosid | Karakullukcu, Nedime/X-2586-2019 | |
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| gdc.description.department | Abdullah Gül University | en_US |
| gdc.description.departmenttemp | [Oztürk] Nedime, Elektrik Ve Bilgisayar Mühendisliǧi Bölümü, Abdullah Gül Üniversitesi, Kayseri, Turkey; [Yilmaz] Bulent, Mühendislik Fakültesi, Abdullah Gül Üniversitesi, Kayseri, Turkey | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
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| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
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