mlsanityData to 7 Oct 2026

BETA: A Large Benchmark Database Toward SSVEP-BCI Application

arXiv 1911.13045 ↗First posted 29 Nov 2019eess.SPcited by 14

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Abstract (arXiv)

Brain-computer interface (BCI) provides an alternative means to communicate and it has sparked growing interest in the past two decades. Specifically, for Steady-State Visual Evoked Potential based BCI, marked improvement has been made in the frequency recognition method and data sharing. However, the number of pubic database is still limited in this field. Therefore, we present a BEnchmark database Towards BCI Application (BETA) in the study. The BETA database is composed of 64-channel Electroencephalogram (EEG) data from 70 subjects performing a 40-target cued-spelling task. The design and acquisition of BETA is in pursuit of meeting the demand from real-world applications and it can be used as a test-bed for these scenarios. We validate the database by a series of analysis and conduct the classification analysis of eleven frequency recognition methods on BETA. We recommend to use the metric of wide-band SNR and BCI quotient to characterize the SSVEP at the single-trial and population level, respectively. The BETA database can be downloaded from the website http://bci.med.tsinghua.edu.cn/download.html.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Nov 2019.

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Citing papers per year: 2021: 1; 2022: 3; 2023: 4; 2024: 3; 2025: 1; 2026: 2.

14 papers.

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