Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller

Abstract

We consider a P300 BCI application where the subjects can write figures and letters in an unsupervised fashion. We (i) show that a generic speller can attain the state-of-the-art accuracy without any training phase or calibration and (ii) present an adaptive setup that consistently increases the bit rate for most of the subjects.
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Dates and versions

hal-01104024 , version 1 (17-01-2015)

Identifiers

  • HAL Id : hal-01104024 , version 1

Cite

Emmanuel Daucé, Eoin Thomas. Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller. 22nd European Symposium on Artificial Neural Networks, Apr 2014, Bruges, Belgium. ⟨hal-01104024⟩
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