Bio-inspired EEG signal computing using machine learning and fuzzy theory for decision making in future-oriented brain-controlled vehicles

One kind of autonomous vehicle that can take instructions from the driver by reading their electroencephalogram (EEG) signals using a Brain-Computer Interface (BCI) is called a Brain-Controlled Vehicle (BCV). The operation of such a vehicle is greatly affected by how well the BCI works. At present,...

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Veröffentlicht in:	SLAS technology Jg. 29; H. 5; S. 100187
Hauptverfasser:	Byeon, Haewon, Quraishi, Aadam, Khalaf, Mohammed I., MP, Sunil, Khan, Ihtiram Raza, Dutta, Ashit Kumar, Dasari, Rakeshnag, Yellu, Ramswaroop Reddy, Reegu, Faheem Ahmad, Bhatt, Mohammed Wasim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.10.2024 Elsevier
Schlagworte:	BCI Brain control vehicles EEG signals Fuzzy theory Neuron-electronics Neuron-electronics BCI EEG signals Fuzzy theory Brain control vehicles Neuron-Electronics EEG Signals Brain Control Vehicles, Fuzzy theory
ISSN:	2472-6303, 2472-6311, 2472-6311
Online-Zugang:	Volltext
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