Online EEG Classification of Covert Speech for Brain-Computer Interfacing

@article{Sereshkeh2017OnlineEC,
  title={Online EEG Classification of Covert Speech for Brain-Computer Interfacing},
  author={Alborz Rezazadeh Sereshkeh and Robert Trott and Aur{\'e}lien Bricout and Tom Chau},
  journal={International journal of neural systems},
  year={2017},
  volume={27 8},
  pages={
          1750033
        }
}
Brain-computer interfaces (BCIs) for communication can be nonintuitive, often requiring the performance of hand motor imagery or some other conversation-irrelevant task. In this paper, electroencephalography (EEG) was used to develop two intuitive online BCIs based solely on covert speech. The goal of the first BCI was to differentiate between 10[Formula: see text]s of mental repetitions of the word "no" and an equivalent duration of unconstrained rest. The second BCI was designed to discern… CONTINUE READING
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