A transformer-based deep neural network model for SSVEP classification

A transformer-based deep neural network model for SSVEP classification

Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signals in the brain-computer interface (BCI) systems. However, the conventional spatial filtering methods for SSVEP classification highly depend on the subject-specific calibration data. The need for the methods t...

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書目詳細資料
Main Authors:	Chen, Jianbo, Zhang, Yangsong, Pan, Yudong, Xu, Peng, Guan, Cuntai
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Brain–Computer Interface Steady-State Visual Evoked Potential
在線閱讀:	https://hdl.handle.net/10356/172792
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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