Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving

Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina. Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving. In Michele Magno, Fabien Ferrero, Vedran Bilas, editors, Sensor Systems and Software - 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers. Volume 205 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 15-28, Springer, 2016. [doi]

@inproceedings{VenutoAM16,
  title = {Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving},
  author = {Daniela De Venuto and Valerio F. Annese and Giovanni Mezzina},
  year = {2016},
  doi = {10.1007/978-3-319-61563-9_2},
  url = {https://doi.org/10.1007/978-3-319-61563-9_2},
  researchr = {https://researchr.org/publication/VenutoAM16},
  cites = {0},
  citedby = {0},
  pages = {15-28},
  booktitle = {Sensor Systems and Software - 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers},
  editor = {Michele Magno and Fabien Ferrero and Vedran Bilas},
  volume = {205},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-319-61563-9},
}