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Detection of mental fatigue using an active BCI inspired signal processing chain

Roy, Raphaëlle N. and Charbonnier, Sylvie and Bonnet, Stéphane Detection of mental fatigue using an active BCI inspired signal processing chain. (2014) In: World Congress The International Federation of Automatic Control, 24 August 2014 - 29 August 2014 (Cape Town, South Africa).

(Document in English)

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Official URL: http://dx.doi.org/10.3182/20140824-6-ZA-1003.00897


This paper presents a novel electroencephalography (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 and 15 electrodes out of 32 are then selected using a method based on Riemannian geometry. Next, a spatial filtering step is carried out using 6 common spatial pattern (CSP) filters. Lastly, a binary classification is performed using Fisher’s linear discriminant analysis (FLDA). The features used are the log variance of the 6 CSP filtered signals. The results obtained on 20 healthy volunteers are excellent with 100% of accuracy when the beta band is used. These performances drop to 84% and 68% when the same data are processed with a traditional signal processing chain where fatigue is classified by means of a FLDA classifier fed by the averaged power, or relative power, in the beta band extracted from 15 selected electrodes.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Commissariat à l'Energie Atomique et aux énergies alternatives - CEA (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Université Grenoble Alpes - UGA (FRANCE)
Other partners > Université de Savoie Mont Blanc - USMB (FRANCE)
Laboratory name:
Deposited On:12 Sep 2018 11:14

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