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Authors: Felipe Alberto Capati ; Rodrigo Prior Bechelli and Maria Claudia F. Castro

Affiliation: Centro Universitário da FEI, Brazil

ISBN: 978-989-758-170-0

Keyword(s): BCI, SSVEP, P300, Evoked Potential, Visual Stimulus, LDA, SVM, FFT.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Cybernetics and User Interface Technologies ; Data Manipulation ; Detection and Identification ; Devices ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Information and Systems Security ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: 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.

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Paper citation in several formats:
Capati, F.; Bechelli, R. and Castro, Maria Claudia F. (2016). Hybrid SSVEP/P300 BCI Keyboard - Controlled by Visual Evoked Potential.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 214-218. DOI: 10.5220/0005705202140218

@conference{biosignals16,
author={Felipe Alberto Capati. and Rodrigo Prior Bechelli. and Castro, Maria Claudia F.},
title={Hybrid SSVEP/P300 BCI Keyboard - Controlled by Visual Evoked Potential},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={214-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005705202140218},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - Hybrid SSVEP/P300 BCI Keyboard - Controlled by Visual Evoked Potential
SN - 978-989-758-170-0
AU - Capati, F.
AU - Bechelli, R.
AU - Castro, Maria Claudia F.
PY - 2016
SP - 214
EP - 218
DO - 10.5220/0005705202140218

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