Cross-subject fusion based on time-weighting canonical correlation analysis in SSVEP-BCIs

Cross-subject fusion based on time-weighting canonical correlation analysis in SSVEP-BCIs

Brain–computer interface technology provides new possibilities for medical rehabilitation and human–computer interaction. The steady-state visual evoked potential based brain–computer interface (SSVEP-BCI) is the preferred solution for controlling equipment because of its ease of operation, low trai...

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Bibliographic Details
Main Authors: Chen, X. (Author), Ding, W. (Author), Fan, S. (Author), Hui, Q. (Author), Liu, X. (Author), Na, R. (Author), Sun, Y. (Author), Wang, S. (Author), Zheng, D. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Analysis method
Brain computer interface
Brain–computer interface
Calibration
Calibration time
Canonical correlation analysis
Canonical correlations analysis
Correlation methods
Cross-subject
EEG signals
Electrophysiology
Fusion methods
Information transfer rate
Interface states
Recognition accuracy
Steady-state visual evoked potentials
Time domain analysis
Time-weighting
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