Ke Yufeng, Han Yuheng, Liu Peishuai, Ming Dong
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin, 300072, China.
Sci Data. 2025 Jul 31;12(1):1338. doi: 10.1038/s41597-025-05696-0.
Steady-state visually evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have shown significant promise for practical applications. The integration of SSVEP-BCIs with head-mounted augmented-reality (AR) displays is expected to foster wearable, portable systems; nevertheless, empirical resources for such configurations are scarce, especially for paradigms employing innovative stimulation paradigms. Here we present a curated SSVEP dataset recorded with a binocular AR headset that independently modulates the visual input to each eye and a lightweight electroencephalography recorder. Beyond the conventional binocular-congruent single-frequency stimulation adopted in AR-SSVEP studies, the dataset systematically explores binocular-incongruent dual-frequency encoding whereby the two lenses render flickers with distinct frequencies and/or phases. We report comparative analyses of SSVEP characteristics and BCI performance under congruent versus incongruent protocols, and delineate the influence of inter-ocular frequency and phase disparities. The results substantiate the feasibility of wearable AR-SSVEP-BCIs and highlight binocular-incongruent dual-frequency stimulation as a compelling strategy for improving target separability. The dataset should accelerate research on portable SSVEP-BCIs, novel encoding schemes, and the neural mechanisms of binocular vision.
基于稳态视觉诱发电位（SSVEP）的脑机接口（BCI）在实际应用中已展现出巨大潜力。将SSVEP-BCI与头戴式增强现实（AR）显示器集成有望催生可穿戴、便携式系统；然而，针对此类配置的实证资源稀缺，特别是对于采用创新刺激范式的情况。在此，我们展示了一个精心整理的SSVEP数据集，该数据集是使用双目AR头戴式设备记录的，该设备可独立调节每只眼睛的视觉输入，并配备了一个轻便的脑电图记录器。除了AR-SSVEP研究中采用的传统双目一致单频刺激外，该数据集还系统地探索了双目不一致双频编码，即两个镜片呈现具有不同频率和/或相位的闪烁。我们报告了在一致与不一致协议下对SSVEP特征和BCI性能的比较分析，并阐述了眼间频率和相位差异的影响。结果证实了可穿戴AR-SSVEP-BCI的可行性，并突出了双目不一致双频刺激作为提高目标可分离性的一种引人注目的策略。该数据集应能加速对便携式SSVEP-BCI、新型编码方案以及双目视觉神经机制的研究。
