Title :
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.
fDate :
Aug. 30 2006-Sept. 3 2006
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260749
