Bio-Inspired Filter Banks for Frequency Recognition of SSVEP-Based Brain-Computer Interfaces

Brain-computer interfaces (BCIs) and their associated technologies have the potential to shape future forms of communication, control, and security. Specifically, the steady-state visual evoked potential (SSVEP) based BCIs have the advantages of better recognition accuracy, and higher information tr...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.160295-160303
Hauptverfasser:	Demir, Ali Fatih, Arslan, Huseyin, Uysal, Ismail
Format:	Artikel
Sprache:	eng
Schlagworte:	Bandwidths Biomimetics Brain-computer interface (BCI) Electrodes Electroencephalography electroencephalography (EEG) Fatigue Feature extraction Filter banks Frequencies Harmonic analysis Human-computer interface Information transfer Recognition Signal to noise ratio Steady-state steady-state visual evoked potential (SSVEP) Visual stimuli Visualization wireless body area network (WBAN)
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