Henshaw, J;
Liu, W;
Romano, DM;
(2018)
Improving SSVEP-BCI performance using pre-trial normalization methods.
In:
Proceedings of the 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
(pp. 000247-000252).
IEEE: Debrecen, Hungary.
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Abstract
A brain-computer interface (BCI) enables users to communicate through a computer using only their brain signals, by extracting brain signal features containing information representative of the user's intent, and can be used in a wide variety of areas such as entertainment, rehabilitation, or assistive technologies. In this paper, two novel normalization methods are assessed with the aim of improving the quality of the extracted features: Baseline-Corrected canonical correlation analysis (BC-CCA), and Scaled CCA. Both methods are found to be able to improve classification accuracy in conditions using frequencies with a large range, whilst BC-CCA is the superior of the two, improving SSVEP detection accuracy by as much as 9.22%.
| Type: | Proceedings paper |
|---|---|
| Title: | Improving SSVEP-BCI performance using pre-trial normalization methods |
| Event: | 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) |
| Location: | Debrecen, Hungary |
| Dates: | 11 September 2017 - 14 September 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CogInfoCom.2017.8268251 |
| Publisher version: | https://doi.org/10.1109/CogInfoCom.2017.8268251 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Correlation, Feature extraction, Electroencephalography, Standards, Electronic mail, Robots, Harmonic analysis, brain-computer interface, BCI, SSVEP, normalization, EEG |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10027858 |
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