Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control
Joint Authors
Dong, Enzeng
Gao, Qiang
Zhang, Yuxin
Wang, Zhe
Song, Xiaolin
Song, Yu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The brain-computer interface (BCI) plays an important role in assisting patients with amyotrophic lateral sclerosis (ALS) to enable them to participate in communication and entertainment.
In this study, a novel channel projection-based canonical correlation analysis (CP-CCA) target identification method for steady-state visual evoked potential- (SSVEP-) based BCI system was proposed.
The single-channel electroencephalography (EEG) signals of multiple trials were recorded when the subject is under the same stimulus frequency.
The CCAs between single-channel EEG signals of multiple trials and sine-cosine reference signals were obtained.
Then, the optimal reference signal of each channel was utilized to estimate the test EEG signal.
To validate the proposed method, we acquired the training dataset with two testing conditions including the optimal time window length and the number of the trial of training data.
The offline experiments conducted a comparison of the proposed method with the traditional canonical correlation analysis (CCA) and power spectrum density analysis (PSDA) method using a 5-class SSVEP dataset that was recorded from 10 subjects.
Based on the training dataset, the online 3D-helicopter control experiment was carried out.
The offline experimental results showed that the proposed method outperformed the CCA and the PSDA methods in terms of classification accuracy and information transfer rate (ITR).
Furthermore, the online experiments of 3-DOF helicopter control achieved an average accuracy of 87.94 ± 5.93% with an ITR of 21.07 ± 4.42 bit/min.
American Psychological Association (APA)
Gao, Qiang& Zhang, Yuxin& Wang, Zhe& Dong, Enzeng& Song, Xiaolin& Song, Yu. 2019. Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129385
Modern Language Association (MLA)
Gao, Qiang…[et al.]. Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1129385
American Medical Association (AMA)
Gao, Qiang& Zhang, Yuxin& Wang, Zhe& Dong, Enzeng& Song, Xiaolin& Song, Yu. Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129385
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129385