activity
20192023
most citedBETA: A Large Benchmark Database Toward SSVEP-BCI Application

206 citations · 218 across the 7 of their papers we have counts for

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Showing cs.HCShow all

5 papers · 1 filter

cs.HC2023

Visual tracking brain computer interface

Changxing Huang, Nanlin Shi, Yining Miao +3

Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known fo…

cs.HC2023

High-performance cVEP-BCI under minimal calibration

Yining Miao, Nanlin Shi, Changxing Huang +4

The ultimate goal of brain-computer interfaces (BCIs) based on visual modulation paradigms is to achieve high-speed performance without the burden of extensive calibration. Code-mo…

cs.HC2023★ 3 cited

A Surgery-Detection Two-Dimensional Panorama of Signal Acquisition Technologies in Brain-Computer Interface

Yike Sun, Xiaogang Chen, Bingchuan Liu +4

Brain-computer interface (BCI) technology is an interdisciplinary field that allows individuals to connect with the external world. The performance of BCI systems relies predominan…

cs.HC2023★ 1 cited

Estimating and approaching maximum information rate of noninvasive visual brain-computer interface

Nanlin Shi, Yining Miao, Changxing Huang +5

The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress,…

cs.HC2023★ 8 cited

Decoding Natural Images from EEG for Object Recognition

Yonghao Song, Bingchuan Liu, Xiang Li +3

Electroencephalography (EEG) signals, known for convenient non-invasive acquisition but low signal-to-noise ratio, have recently gained substantial attention due to the potential t…