A Multi-Facets Analysis of the Driver Status by EEG and Fuzzy Hardware Processing

Author

Faro, A. ; Giordano, D. ; Spampinato, C.

Author_Institution

Dipt. di Ingegneria Inf. e Telecomun., Catania Univ.

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

6095

Lastpage

6100

Abstract

In the paper, EEGs are used to perform a multi facets analysis of the driver status. The EEG tracks, taken by means of electrodes installed in a basket dressed by the driver, are processed by a fuzzy model consisting of rules able to predict possible temporary driver attention deficit due to stress or disease conditions. The driving behavior is evaluated in real time by a hardware fuzzy processing. The possibility of taking into account different facets of the driver status is claimed to give rise to a driver control system with good safety and predictive features

Keywords

diseases; electroencephalography; fuzzy control; medical signal processing; EEG; disease condition; driver control system; electrodes; hardware fuzzy processing; multi facets analysis; stress condition; Brain modeling; Control systems; Diseases; Electrodes; Electroencephalography; Hardware; Performance analysis; Predictive models; Safety; Stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260749

Filename

4463199