Driver vigilance monitoring, a new approach

In this paper, we introduce an original advanced driver assistance system, in order to tackle the Hypovigilance diagnosis problem. Some constraints of the system are: 1) the supervision and monitoring of the driver-vehicle-environment system is a complex problem due to particularities such as stochastic, personal and dynamic; 2) The solution must be based on a non-intrusive system, and 3) able to diagnose and predict Hypovigilance from peripheral on-board sensors. The proposed diagnosis system is based on intelligent signal processing algorithms and real time methodologies as the wavelets analysis and the support vector machines learning approach for density estimation. The framework of this study is the AWAKE European research project. The value of such a system is demonstrated by some field experiments and its validation by means of EEG/EOG physiological measures.