EEG analysis and classification of microsleep in the car simulator

Title:

EEG analysis and classification of microsleep in the car simulator

Creator:

Svoboda, Petr

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:9d90ce31-0969-4871-9fac-9b724a66d7b8
uuid:9d90ce31-0969-4871-9fac-9b724a66d7b8

Subject:

fourier transform, nonlinear analysis, state-space trajectory, attractor, embedding dimension, delay-time embedding, fractal dimension, electroencephalography (EEG), microsleep, car simulator, and human machine interface (HMI)

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The article addresses the overwhelming problematics of attention decrease of human operators. It presents two sets of experiments used for vigilance detection and possible microsleep prediction. In the hrst experiment, the analysis of the electroencephalographic activity (EEG) of a human operátor (proband) is correlated with the reaction time (RT) to the sound stimulus. For the second set of experiments, the cooperation of a car simulator realized in virtual reality (VR) environment and measurement of EEG is presented. The paper introduces two main methods of the analysis of EEG: frequency analysis and nonlinear analysis based on computation of the state-space trajectory. For the frequency analysis, the delta, theta, alpha and beta bands are computed and compared with nonlinear measures Largest Lyapunov Exponent (LLE) and Correlation dimension (CD). Finally, both experiments are compared and its outcomes are discussed.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2004 Volume:14 | Number:3-4

Harvested from:

CDK

Metadata only:

false