An EEG dataset for studying asynchronous steady-state visual evoked potential (SSVEP) based brain computer interfaces

An EEG dataset for studying asynchronous steady-state visual evoked potential (SSVEP) based brain computer interfaces

Compared with the commonly used synchronous brain-computer interface (BCI), the asynchronous BCI is a more flexible and natural way to control the real-world robotic devices. The major difficulty of building a robust asynchronous BCI lies in the discrimination between control states (CSs) and non-co...

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Bibliographic Details
Main Authors: Jing Zhao, Qian Zhang, Xinrui Wang, Xueshuo Liu, Jiaxin Li, Fengjie Fan, Zhenhu Liang, Xiaoli Li
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Brain-Apparatus Communication
Subjects:
Brain–computer interface (BCI)
electroencephalogram (EEG)
steady-state visual evoked potential (SSVEP)
asynchronous
non-control state (NS)
Online Access:https://www.tandfonline.com/doi/10.1080/27706710.2024.2418650
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