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Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running
We present a mobile dataset obtained from electroencephalography (EEG) of the scalp and around the ear as well as from locomotion sensors by 24 participants moving at four different speeds while performing two brain-computer interface (BCI) tasks. The data were collected from 32-channel scalp-EEG, 1...
Autores principales: | Lee, Young-Eun, Shin, Gi-Hwan, Lee, Minji, Lee, Seong-Whan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688416/ https://www.ncbi.nlm.nih.gov/pubmed/34930915 http://dx.doi.org/10.1038/s41597-021-01094-4 |
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