Detection of changes in driving behaviour using unsupervised learning
Michael T. Chan, Alba García Seco de Herrera, Barbara G. Andre · 2002
In many circumstances, human tests consist of monitoring and controlling complex processes by means of terminal boards and operators who often have to remain alert for a long period of time. Detecting an abnormal situation may be useful to prevent any impairment on the part of the operator. This paper presents a method for detecting any change in a driver's behaviour, with the use of an unsupervised learning process. The human behaviours are divided into classes using "Boolean connectives" to associate data gathered from sensors. Results obtained from experimental data on a car drives doing a specific task are given.>