Wilson, John J., Palaniappan, Ramaswamy (2009) Augmenting a SSVEP BCI through single cycle analysis and phase weighting. In: Proceedings of 4th International IEEE EMBS Conference on Neural Engineering. . pp. 371-374. IEEE ISBN 978-1-4244-2072-8. E-ISBN 978-1-4244-2073-5. (doi:10.1109/NER.2009.5109310) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48272)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/NER.2009.5109310 |
Abstract
Single cycle analysis of the Steady State Visual Evoked Potential (SSVEP) response allows use of standard significance tests to determine a subject's gaze. This allows standard criterion levels to be set across all subjects rather than individually by empirical analysis. Furthermore once a subject's gaze has been classified it is possible to extract a notion of expected phase to a SSVEP stimulus. This expected phase value can then be used to augment classification of attention to a four class Brain Computer Interface system improving transfer rates.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/NER.2009.5109310 |
Additional information: | Unmapped bibliographic data: ST - Augmenting a SSVEP BCI through single cycle analysis and phase weighting [Field not mapped to EPrints] AN - WOS:000274650800091 [Field not mapped to EPrints] |
Uncontrolled keywords: | BCI, EEG, brain-computer interface, phase value, phase weighting, single cycle analysis, standard criterion levels, steady state visual evoked potential |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Palaniappan Ramaswamy |
Date Deposited: | 14 Dec 2018 18:59 UTC |
Last Modified: | 05 Nov 2024 10:32 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/48272 (The current URI for this page, for reference purposes) |
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