Driver Safety Awareness and Assistance System for Cognitive Vehicle Control

This paper presents a new approach towards automobile safety and security. According to experimental and real-world study, the root cause of majority of accidents can be traced back to the behavior of the one who drives the vehicle, the driver himself. So it is not only important to develop more active safety features to avoid accidents but it is equally important to develop cost-effective technological solutions that can accurately identify the driving behavior of drivers and to assist them. Previous research uses eye blink sensor technology to detect driver's fatigue. But it is not driver adaptable and has some drawbacks. To overcome those problems, this paper proposes an integrated concept of steering wheel grip force measurement and HRV. It also employs various features such as Mobile Baseband Monitoring, Hands Free Auto Reply SMS, Driver Fatigue Warning, Drunk and Drive Prevention, Collision Pre safe Activation, GSM and GPS Based Accident/Panic Alert using ARM Cortex M3 to assist the driver, thus preventing his malfunctions and ensures a safe journey.