A comprehensive benchmark dataset for SSVEP-based hybrid BCI

作者：

Highlights：

• One of the shortcomings of HBCI systems is the lack of a benchmark dataset.

• The novelty of study is providing a comprehensive dataset for various HBCI systems.

• Considering similar protocol provides significant comparability of various systems.

• This dataset compare systems in terms of the accuracy, ITR and user-friendliness.

摘要

•One of the shortcomings of HBCI systems is the lack of a benchmark dataset.•The novelty of study is providing a comprehensive dataset for various HBCI systems.•Considering similar protocol provides significant comparability of various systems.•This dataset compare systems in terms of the accuracy, ITR and user-friendliness.

论文关键词：Brain-computer interface (BCI),Steady-state visual evoked potential,Electromyogram,Electrooculogram,Hybrid BCI,Open-access dataset

论文评审过程：Received 15 June 2021, Revised 1 September 2021, Accepted 1 April 2022, Available online 4 April 2022, Version of Record 6 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117180