DocumentCode
2721359
Title
A fuzzy diagnosis process for the detection of evolution of a car driver´s behavior
Author
Peltier, Marie-Agnès ; Lajon, Marc
Author_Institution
ECP/EPAP, Chatenay Malabry, France
fYear
1994
fDate
24-26 Oct. 1994
Firstpage
19
Lastpage
24
Abstract
This paper describes a monitoring and diagnosis process for the detection of evolution of a car driver´s behavior. This is an adaptive fuzzy pattern recognition algorithm that achieves progressive and online learning of the driver´s characteristics. A neural net based architecture associated with a real-time algorithm for the detection of abrupt changes provides a diagnosis of evolution that may also be predictive. Promising results on real data are reported.
Keywords
behavioural sciences computing; computerised monitoring; fuzzy set theory; learning (artificial intelligence); neural nets; pattern recognition; traffic engineering computing; adaptive fuzzy pattern recognition algorithm; car driver´s behavior evolution detection; fuzzy diagnosis; neural net; online learning; progressive learning; Biomedical monitoring; Electroencephalography; Electrooculography; Fatigue; Neural networks; Pattern recognition; Rain; Road accidents; Vehicle driving; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles '94 Symposium, Proceedings of the
Print_ISBN
0-7803-2135-9
Type
conf
DOI
10.1109/IVS.1994.639463
Filename
639463
Link To Document