206 citations · 210 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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,…
tACS Facilitates Flickering Driving by Boosting Steady-State Visual Evoked Potentials
Bingchuan Liu, Xinyi Yan, Xiaogang Chen +2
There has become of increasing interest in transcranial alternating current stimulation (tACS) since its inception nearly a decade ago. tACS in modulating brain state is an active…
BETA: A Large Benchmark Database Toward SSVEP-BCI Application
Bingchuan Liu, Xiaoshan Huang, Yijun Wang +2
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 Evoke…