The combination of CCA and PSDA detection methods in a SSVEP-BCI system

Ruimin Wang; Wen Wu; Keiji Iramina; Sheng Ge

doi:10.1109/WCICA.2014.7053101

The combination of CCA and PSDA detection methods in a SSVEP-BCI system

Ruimin Wang, Wen Wu, Keiji Iramina, Sheng Ge

Intelligence Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

In recent years, based on the steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs) have generated significant interest, due to their shorter calibration times and higher information transfer rates. Target identification is the core signal processing task in BCIs. Power spectral density analysis (PSDA) and canonical correlation analysis (CCA) are the most popular and widely used classification methods in SSVEP-BCI systems. In this paper, we first combined these two methods for detecting the SSVEP signals. Moreover, we compared the proposed method with PSDA, CCA method, respectively. The results showed that the proposed method can improve the accuracy and the transfer rate of BCIs.

Original language	English
Title of host publication	Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2424-2427
Number of pages	4
Edition	March
ISBN (Electronic)	9781479958252
DOIs	https://doi.org/10.1109/WCICA.2014.7053101
Publication status	Published - Mar 2 2015
Event	2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 - Shenyang, China Duration: Jun 29 2014 → Jul 4 2014

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Number	March
Volume	2015-March

Other

Other	2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Country/Territory	China
City	Shenyang
Period	6/29/14 → 7/4/14

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Computer Science Applications

Access to Document

10.1109/WCICA.2014.7053101

Cite this

Wang, R., Wu, W., Iramina, K., & Ge, S. (2015). The combination of CCA and PSDA detection methods in a SSVEP-BCI system. In Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014 (March ed., pp. 2424-2427). [7053101] (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2015-March, No. March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2014.7053101

The combination of CCA and PSDA detection methods in a SSVEP-BCI system. / Wang, Ruimin; Wu, Wen; Iramina, Keiji et al.

Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2424-2427 7053101 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2015-March, No. March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, R, Wu, W, Iramina, K & Ge, S 2015, The combination of CCA and PSDA detection methods in a SSVEP-BCI system. in Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March edn, 7053101, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), no. March, vol. 2015-March, Institute of Electrical and Electronics Engineers Inc., pp. 2424-2427, 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014, Shenyang, China, 6/29/14. https://doi.org/10.1109/WCICA.2014.7053101

Wang R, Wu W, Iramina K, Ge S. The combination of CCA and PSDA detection methods in a SSVEP-BCI system. In Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2424-2427. 7053101. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); March). doi: 10.1109/WCICA.2014.7053101

Wang, Ruimin ; Wu, Wen ; Iramina, Keiji et al. / The combination of CCA and PSDA detection methods in a SSVEP-BCI system. Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014. March. ed. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2424-2427 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); March).

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The combination of CCA and PSDA detection methods in a SSVEP-BCI system

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