Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.

Kim JS, Choi SI, Hwang HJ, Han CH

Open source

DOI: 10.3390/bios16080437
Published: 2026 Aug 12
Container: Biosensors
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bios16080437,
  title = {Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.},
  author = {Kim JS and Choi SI and Hwang HJ and Han CH},
  year = {2026},
  journal = {Biosensors},
  doi = {10.3390/bios16080437},
  url = {https://doi.org/10.3390/bios16080437}
}

RIS

TY  - JOUR
TI  - Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.
AU  - Kim JS
AU  - Choi SI
AU  - Hwang HJ
AU  - Han CH
PY  - 2026
JO  - Biosensors
DO  - 10.3390/bios16080437
UR  - https://doi.org/10.3390/bios16080437
ER  -

APA

JS, K., SI, C., HJ, H., & CH, H. (2026). Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.. Biosensors. https://doi.org/10.3390/bios16080437

Source records

pubmed · retrieved 2026-09-25T04:49:30.683Z
europe-pmc · retrieved 2026-09-25T04:49:30.709Z
doaj · retrieved 2026-09-25T04:49:30.689Z