Moving attention from the road: a new methodology for the driver distraction evaluation using machine learning approaches

Authors:
Fabio Tango;Caterina Calefato;Luca Minin;Luca Canovi
Affiliations:
Centro Ricerche Fiat, Orbassano, Italy;Department of Computer Science, University of Turin, Torino, Italy;University of Modena and Reggio Emilia;University of Modena and Reggio Emilia
Venue:
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Year:
2009

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Abstract

This work describes an approach to develop a model of driver's distraction induced by an on-board information system basing on vehicle data. Machine learning techniques have been adopted to find the model able to better predict distraction, given a target value. Results pointed in favor of a model obtained with the ANFIS (Adaptive Neuro Fuzzy Inference System) technique. Further investigations will be carried out by porting the model on real car.