Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces

@article{Lotte2015SignalPA,
  title={Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces},
  author={Fabien Lotte},
  journal={Proceedings of the IEEE},
  year={2015},
  volume={103},
  pages={871-890}
}
  • F. Lotte
  • Published 18 May 2015
  • Computer Science
  • Proceedings of the IEEE
One of the major limitations of brain-computer interfaces (BCI) is their long calibration time, which limits their use in practice, both by patients and healthy users alike. Such long calibration times are due to the large between-user variability and thus to the need to collect numerous training electroencephalography (EEG) trials for the machine learning algorithms used in BCI design. In this paper, we first survey existing approaches to reduce or suppress calibration time, these approaches… Expand
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