A fuzzy logic based system for detection of car driver's vigilance level

Title:

A fuzzy logic based system for detection of car driver's vigilance level

Creator:

Coufal, David

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:e77e4b0e-fd17-4d80-ac97-accad4f10da4
uuid:e77e4b0e-fd17-4d80-ac97-accad4f10da4

Subject:

EEG spectrograms, implicate fuzzy system, and micro-sleeps detection

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The paper presents an application of fuzzy logic modeling techniques for design and development of a classification system for car driver's vigilance level detection. Especially, the micro-sleeps detection is of our primary interest. Detection is based on a pattern analysis of EEG signal spectrograms, which are acquired by monitoring the driver during a driving process. The system is based on the concept of radial implicative fuzzy system, which can be treated as a logical system accommodating acquired knowledge in a structured form.

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 | 2008 Volume:18 | Number:6

Harvested from:

CDK

Metadata only:

false