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001-es BibID:	BIBFORM078766
Első szerző:	Monori Fanny (mérnökinformatikus)
Cím:	Processing EEG signals acquired from a consumer grade BCI device / Fanny Monori, Stefan Oniga
Dátum:	2018
ISSN:	1844-9689 2343-8908
Megjegyzések:	BCI (Brain-Computer Interface) is a technology which goal is to create and manage a connection between the human brain and a computer with the help of EEG signals. In the last decade consumer-grade BCI devices became available thus giving opportunity to develop BCI applications outside of clinical settings. In this paper we use a device called NeuroSky MindWave Mobile. We investigate what type of information can be deducted from the data acquired from this device, and we evaluate whether it can help us in BCI applications. Our methods of processing the data involves feature extraction methods, and neural networks. Specifically, we make experiments with finding patterns in the data by binary and multiclass classification. With these methods we could detect sharp changes in the signal such as blinking patterns, but we could not extract more complex information successfully.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban BCI EEG neural networks MindWave Mobile
Megjelenés:	Carpathian Journal of Electronic and Computer Engineering. - 11 : 2 (2018), p. 29-34. -
További szerzők:	Oniga István László (1960-) (villamosmérnök)
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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