detection of mental fatigue using an active bci inspired signal processing chain论文.pdf

文档介绍：Proceedings of the 19th World Congress
The International Federation of Automatic Control
Cape Town, South Africa. August 24-29, 2014
Detection of mental fatigue using an active BCI inspired signal processing chain

R. N. Roy*, S. Charbonnier**, S. Bonnet*

*CEA/LETI/DTBS/LE2S, MINATEC Campus, Grenoble, France
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**Gipsa-lab (UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal)
Grenoble, France
Sylvie.******@gipsa--
Abstract: This paper presents a novel electro-encephalography (EEG) signal processing chain designed to
classify two levels of mental fatigue that appears after having spent a long time on a tedious task. The
decrease in vigilance associated with mental fatigue makes it a dangerous state for operators in charge of
complex systems. The processing chain, inspired from active brain computer interface computing, is
implemented as follows: the EEG signal is initially filtered in a given frequency band