Experiments on Decision Fusion for Driver Recognition
Erdogan, H., Ercil, A., and Abut, H.
Advances for In-Vehicle and Mobile Systems: Challenges for International Standards
In this work, we study the individual as well as combined performance of various driving behavior sognals on identifying the driver of a motor vehicle. We investigate a number of classifier fusion techniques to combine multiple channel decisions. We observer that some friving signals carry more biometric information than others. When we use trainable combining methods, we can reduce identification error significantly using only driving behavior signals. C;assifiercombination methods seem to be very useful in multi-modal biometric identification in a car environment.