EEG-based endogenous online co-adaptive brain-computer interfaces: strategy for success?
Fecha
2018Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
|
CEEC.2018.8674198
Resumen
A Brain-Computer Interface (BCI) translates patterns
of brain signals such as the electroencephalogram (EEG)
into messages for communication and control. In the case of
endogenous systems the reliable detection of induced patterns
is more challenging than the detection of the more stable and
stereotypical evoked responses. In the former case specific mental
activities such as motor imagery ...
[++]
A Brain-Computer Interface (BCI) translates patterns
of brain signals such as the electroencephalogram (EEG)
into messages for communication and control. In the case of
endogenous systems the reliable detection of induced patterns
is more challenging than the detection of the more stable and
stereotypical evoked responses. In the former case specific mental
activities such as motor imagery are used to encode different
messages. In the latter case users have to attend sensory stimuli
to evoke a characteristic response. Indeed, a large number of
users who try to control endogenous BCIs do not reach sufficient
level of accuracy. This fact is also known as BCI “inefficiency” or
“illiteracy”. In this paper we discuss and make some conjectures,
based on our knowledge and experience in BCI, on whether or not
online co-adaptation of human and machine can be the solution
to overcome this challenge. We point out some ingredients that
might be necessary for the system to be reliable and allow the
users to attain sufficient control. [--]
Materias
Brain-computer interface (BCI),
Online co-adaptation,
Electroencephalogram (EEG)
Editor
IEEE
Publicado en
2018 10th Computer Science and Electronic Engineering (CEEC), Colchester, United Kingdom, 2018, pp. 299-304.
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
C. Vidaurre was supported by grant number RyC-2014-15671 of the Spanish MINECO.