Combining the Benefits of CCA and SVMs for SSVEP-based BCIs in Real-world Conditions-Reference-Cited by-同舟云学术

Combining the Benefits of CCA and SVMs for SSVEP-based BCIs in Real-world Conditions

Published:2017-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care
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Author:

Chatzilari Elisavet¹,Liarios Georgios¹,Georgiadis Kostas²,Nikolopoulos Spiros¹,Kompatsiaris Yiannis¹

Affiliation:

1. Centre for Research & Technology Hellas, Thessaloniki, Greece

2. Centre for Research & Technology Hellas & Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

H2020 LEIT Information and Communication Technologies

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132635.3132636

Reference16 articles.

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2. A high-speed BCI based on code modulation VEP

3. Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs

4. P. F. Diez V. A. Mut E. M. Avila Perona and E. Laciar Leber. 2011. Asynchronous BCI control using high-frequency SSVEP. (2011). P. F. Diez V. A. Mut E. M. Avila Perona and E. Laciar Leber. 2011. Asynchronous BCI control using high-frequency SSVEP. (2011).

5. K. Georgiadis G. Liaros V. P. Oikonomou E. Chatzilari K. Adam S. Nikolopoulos and I. Kompatsiaris. 2016. MAMEM EEG SSVEP Dataset II (256 channels 11 subjects 5 frequencies). (2016). K. Georgiadis G. Liaros V. P. Oikonomou E. Chatzilari K. Adam S. Nikolopoulos and I. Kompatsiaris. 2016. MAMEM EEG SSVEP Dataset II (256 channels 11 subjects 5 frequencies). (2016).

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