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Characterizing Computer Access Using a One-Channel EEG Wireless Sensor

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Autor: Molina Cantero, Alberto Jesús
Guerrero Cubero, Jaime
Gómez González, Isabel María
Merino Monge, Manuel
Silva Silva, Juan I.
Departamento: Universidad de Sevilla. Departamento de Tecnología Electrónica
Fecha: 2017
Publicado en: Sensors, 17 (7)
Tipo de documento: Artículo
Resumen: This work studies the feasibility of using mental attention to access a computer. Brain activity was measured with an electrode placed at the Fp1 position and the reference on the left ear; seven normally developed people and three subjects with cerebral palsy (CP) took part in the experimentation. They were asked to keep their attention high and low for as long as possible during several trials. We recorded attention levels and power bands conveyed by the sensor, but only the first was used for feedback purposes. All of the information was statistically analyzed to find the most significant parameters and a classifier based on linear discriminant analysis (LDA) was also set up. In addition, 60% of the participants were potential users of this technology with an accuracy of over 70%. Including power bands in the classifier did not improve the accuracy in discriminating between the two attentional states. For most people, the best results were obtained by using only the atten...
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Cita: Molina Cantero, A.J., Guerrero Cubero, J., Gómez González, I.M., Merino Monge, M. y Silva Silva, J.I. (2017). Characterizing Computer Access Using a One-Channel EEG Wireless Sensor. Sensors, 17 (7)
Tamaño: 3.117Mb
Formato: PDF

URI: http://hdl.handle.net/11441/64198

DOI: 10.3390/s17071525

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