CAPATI, F. A.BECHELLI, R. P.Castro, M.C.F.2022-01-122022-01-122016-02-05CAPATI, F. A.; BECHELLI, R. P.; CASTRO, M. C. F. Hybrid SSVEP/P300 BCI keyboard: Controlled by Visual Evoked Potential. BIOSIGNALS 2016 - 9th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016, p. 214-218, 2016.https://repositorio.fei.edu.br/handle/FEI/3936Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.This paper presents a two stage Brain Computer Interface (BCI) keyboard system that consumes Electroencephalography (EEG) signals based on two evoked potential detection methods: P300 and Steady-State Visual Evoked Potential (SSVEP). In order to develop a practical daily use EEG system, signals were captured with a standard low cost Emotiv-EPOC system and processed using OpenViBE platform. Fast Fourier Transform (FFT) and sample average were used as feature extraction methods while Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) were used as classifiers.Acesso RestritoArtigo de evento10.5220/0005705202140218BCIEvoked potentialFFTLDAP300SSVEPSVMVisual stimulus