An Integrated smart system for accident - avoidance in four wheelers by using GSM and GPS Module

This paper is aimed at presenting the car-integrated framework in which the validation of automobile applications as well as driver´s health condition is measured using different stimuli. And additionally, the mechanical parameters are detected as engine failure, brake failure etc. It is also an essential one for both vehicle and the driver´s safety measure like accident avoidance in the realistic driving conditions. Context information is important for two reasons: first, it helps to interpret driving situations during data processing. Second, we expected this information to be useful to assess the signal quality of the physiological data.