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Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset

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DataCite Commons2025-07-04 更新2025-09-08 收录
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https://figshare.com/articles/dataset/Multi-frequency_steady-state_visual_evoked_potential_dataset_in_the_augmented_reality_environment_using_a_portable_stimulation_device_epoch_data_/26764735/7
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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.If you use this dataset for a publication, please cite our corresponding research paper: "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset".

基于稳态视觉诱发电位(Steady-state Visually Evoked Potential, SSVEP)的脑机接口(Brain-Computer Interface, BCI)在实际应用中展现出显著潜力。将SSVEP-BCI与头戴式增强现实(Augmented Reality, AR)显示器相结合,有望实现可穿戴、便携式的系统;然而,针对此类配置的实证研究资源仍较为匮乏,尤其是采用创新刺激范式的相关数据集。 本研究公开了一套经精心整理的SSVEP数据集,其采集自可独立调节双眼视觉输入的双目AR头显,以及一款轻量化脑电图记录仪。相较于现有AR-SSVEP研究中普遍采用的双眼一致单频刺激范式,本数据集系统探索了双眼非一致双频编码方案——即两个光学透镜分别输出频率和/或相位各异的闪烁视觉刺激。 我们对一致与非一致刺激协议下的SSVEP特征及BCI性能开展了对比分析,并阐明了双眼间频率与相位差异的影响。实验结果证实了可穿戴AR-SSVEP-BCI的可行性,并凸显双眼非一致双频刺激作为提升目标可分离性的极具吸引力的策略的应用价值。 本数据集将助力便携式SSVEP-BCI、新型编码方案以及双眼视觉神经机制相关领域的研究。若您在学术出版中使用本数据集,请引用以下对应研究论文:《基于增强现实头显采集的双眼编码稳态视觉诱发电位数据集》(Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset)
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figshare
创建时间:
2025-06-23
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