Multi-Stimulus Least-Squares Transformation With Online Adaptation Scheme to Reduce Calibration Effort for SSVEP-Based BCIs

Steady-state visual evoked potential (SSVEP), one of the most popular electroencephalography (EEG)-based brain-computer interface (BCI) paradigms, can achieve high performance using calibration-based recognition algorithms. As calibration-based recognition algorithms are time-consuming to collect ca...

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Bibliographic Details

Main Authors:	Dandan Li, Xuedong Wang, Mingliang Dou, Yao Zhao, Xiaohong Cui, Jie Xiang, Bin Wang
Format:	Artigo
Language:	Inglês
Published:	IEEE 2024-01-01
Series:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:	Brain-computer interface multi-stimulus least squares transform online adaptation scheme steady-state visual evoked potential transfer learning
Online Access:	https://ieeexplore.ieee.org/document/10496319/
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