An EEG dataset for handwriting imagery decoding of Chinese character strokes and Pinyin single vowels
Abstract Non-invasive EEG-based brain-computer interfaces (BCI) for handwriting imagery can support the restoration of fine writing abilities in individuals with motor impairments. However, the development of high-performance decoding algorithms is constrained by scarce training datasets. To address...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2026-02-01
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| Serie: | Scientific Data |
| Accesso online: | https://doi.org/10.1038/s41597-026-06708-3 |
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