Spelling with non-invasive Brain-Computer Interfaces - Current and future trends.

Hubert Cecotti 1, 2
1 GIPSA-VIBS - VIBS
GIPSA-DIS - Département Images et Signal
Abstract : Brain-Computer Interfaces (BCIs) have become a large research field that include challenges mainly in neuroscience, signal processing, machine learning and user interface. A non-invasive BCI can allow the direct communication between humans and computers by analyzing electrical brain activity, recorded at the surface of the scalp with electroencephalography. The main purpose for BCIs is to enable communication for people with severe disabilities. Spelling is one of the first BCI application, it corresponds to the main communication mean for people who are unable to speak. While spelling can be the most basic application it remains a benchmark for communication applications and one challenge in the BCI community for some patients. This paper proposes a review of the current main strategies, and their limitations, for spelling words. It includes recent BCIs based on P300, steady-state visual evoked potentials and motor imagery.
Type de document :
Article dans une revue
Journal of Physiology - Paris, Elsevier, 2011, 105 (1-3), pp.106-114. 〈10.1016/j.jphysparis.2011.08.003〉
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https://hal.inria.fr/hal-00655510
Contributeur : Hubert Cecotti <>
Soumis le : jeudi 29 décembre 2011 - 20:15:14
Dernière modification le : jeudi 11 janvier 2018 - 06:26:27

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Hubert Cecotti. Spelling with non-invasive Brain-Computer Interfaces - Current and future trends.. Journal of Physiology - Paris, Elsevier, 2011, 105 (1-3), pp.106-114. 〈10.1016/j.jphysparis.2011.08.003〉. 〈hal-00655510〉

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