Fast BCI Calibration - Comparing Methods to Adapt BCI Systems for New Subjects

Jean Thorey, Parvaneh Adibpour, Yohei Tomita, Antoine Gaume, Hovagim Bakardjian, Gérard Dreyfus, François-B. Vialatte

2012

Abstract

A Brain Computer Interface (BCI) is a system where a direct connection is established between the brain and a computer, providing a subject with a new communication channel. Unfortunately, BCI have many drawbacks: signal recording is problematic, brain signatures are non reproducible from individual to individual, etc. A dependent-BCI prototype, the BrainPC project, was developed in the SIGMA laboratory. Electroencephalographic (EEG) signals collected by a BrainAmp amplifier in responses to flickering light stimuli (Steady State Visual Evoked Potentials) are converted into machine-readable commands. This system is coupled with a human-machine interface. We propose a solution for fast calibration of the automatic detection of SSVEP between experimental subjects. We tested different calibration methods; harmonic and electrode selections were shown to be the most efficient methods.

Paper Citation

in Harvard Style

Thorey J., Adibpour P., Tomita Y., Gaume A., Bakardjian H., Dreyfus G. and Vialatte F. (2012). Fast BCI Calibration - Comparing Methods to Adapt BCI Systems for New Subjects . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 663-669. DOI: 10.5220/0004180806630669

in Bibtex Style

@conference{sscn12,
author={Jean Thorey and Parvaneh Adibpour and Yohei Tomita and Antoine Gaume and Hovagim Bakardjian and Gérard Dreyfus and François-B. Vialatte},
title={Fast BCI Calibration - Comparing Methods to Adapt BCI Systems for New Subjects},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012)},
year={2012},
pages={663-669},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004180806630669},
isbn={978-989-8565-33-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012)
TI - Fast BCI Calibration - Comparing Methods to Adapt BCI Systems for New Subjects
SN - 978-989-8565-33-4
AU - Thorey J.
AU - Adibpour P.
AU - Tomita Y.
AU - Gaume A.
AU - Bakardjian H.
AU - Dreyfus G.
AU - Vialatte F.
PY - 2012
SP - 663
EP - 669
DO - 10.5220/0004180806630669