Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset
Abstract 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, em...
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| Format: | Article |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05696-0 |
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| author | Yufeng Ke Yuheng Han Peishuai Liu Dong Ming |
| author_facet | Yufeng Ke Yuheng Han Peishuai Liu Dong Ming |
| author_sort | Yufeng Ke |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-cd39dfc1c9504574b4c2b084fca768e7 |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-cd39dfc1c9504574b4c2b084fca768e72025-08-20T03:04:14ZengNature PortfolioScientific Data2052-44632025-07-0112111410.1038/s41597-025-05696-0Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headsetYufeng Ke0Yuheng Han1Peishuai Liu2Dong Ming3Academy of Medical Engineering and Translational Medicine, Tianjin UniversityAcademy of Medical Engineering and Translational Medicine, Tianjin UniversityAcademy of Medical Engineering and Translational Medicine, Tianjin UniversityAcademy of Medical Engineering and Translational Medicine, Tianjin UniversityAbstract 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.https://doi.org/10.1038/s41597-025-05696-0 |
| spellingShingle | Yufeng Ke Yuheng Han Peishuai Liu Dong Ming Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset Scientific Data |
| title | Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset |
| title_full | Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset |
| title_fullStr | Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset |
| title_full_unstemmed | Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset |
| title_short | Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset |
| title_sort | dataset of binocularly coded steady state visual evoked potentials recorded with an augmented reality headset |
| url | https://doi.org/10.1038/s41597-025-05696-0 |
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