Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy

Maria-Isabel Casso, Camille Jeunet, Raphaƫlle N. Roy. Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy. In 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021, Virtual Event, Italy, May 4-6, 2021. pages 690-693, IEEE, 2021. [doi]

@inproceedings{CassoJR21,
  title = {Heading for motor imagery brain-computer interfaces (MI-BCIs) usable out-of-the-lab: Impact of dry electrode setup on classification accuracy},
  author = {Maria-Isabel Casso and Camille Jeunet and Raphaƫlle N. Roy},
  year = {2021},
  doi = {10.1109/NER49283.2021.9441410},
  url = {https://doi.org/10.1109/NER49283.2021.9441410},
  researchr = {https://researchr.org/publication/CassoJR21},
  cites = {0},
  citedby = {0},
  pages = {690-693},
  booktitle = {10th International IEEE/EMBS Conference on Neural Engineering, NER 2021, Virtual Event, Italy, May 4-6, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-4337-8},
}