Evaluating True BCI Communication Rate through Mutual Information and Language Models

@inproceedings{Speier2013EvaluatingTB,
  title={Evaluating True BCI Communication Rate through Mutual Information and Language Models},
  author={William Speier and Corey W. Arnold and Nader Pouratian},
  booktitle={PloS one},
  year={2013}
}
Brain-computer interface (BCI) systems are a promising means for restoring communication to patients suffering from "locked-in" syndrome. Research to improve system performance primarily focuses on means to overcome the low signal to noise ratio of electroencephalogric (EEG) recordings. However, the literature and methods are difficult to compare due to the array of evaluation metrics and assumptions underlying them, including that: 1) all characters are equally probable, 2) character selection… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 10 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

Similar Papers

Loading similar papers…