DocumentCode :
2976891
Title :
Understanding driver behavior using multi-dimensional CMAC
Author :
Wahab, Abdul ; Wen, Toh Guang ; Kamaruddin, Norhaslinda
Author_Institution :
Nanyang Technol. Univ., Singapore
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, detailed studies have been conducted to model individual driving behavior in order to identify features that may be efficiently and effectively used to profile each driver. The brake and gas pedal pressure are used to identify uniqueness in driving maneuver of each driver. These differences in the driving habits could be due to the way our subconscious mind works and respond. In addition the switching between the subconscious to conscious mind will also produce unique respond on how the brain perform. Since the activation of movements are controlled by the cerebellum we propose the use of cerebellum model articulation controller (CMAC), introduced by Albus, to model each driver behavior. In this paper we only focus on using the gas pedal and brake pedal pressure of the driver to understand the driver behavior under difference environment. Experimental results from the CMAC profiles show the potential of extracting features of drivers´ behavior for identification, verification, emotion recognition, stress and many other behavioral conditions.
Keywords :
cerebellar model arithmetic computers; driver information systems; emotion recognition; feature extraction; brake pedal pressure; cerebellum model articulation controller; driver behavior understanding; emotion recognition; feature extraction; gas pedal pressure; multidimensional CMAC; Brain modeling; Competitive intelligence; Computational intelligence; Data mining; Data visualization; Emotion recognition; Equations; Feature extraction; Neurons; Stress; Cerebellar Model Articulation Controller (CMAC); brake pedal signal; driver profiling; gas pedal signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
Type :
conf
DOI :
10.1109/ICICS.2007.4449860
Filename :
4449860
Link To Document :
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