Theoretical framework for physiological profiling using sensors and Big Data Analytics

In today´s world, everybody has limited time and generally do rash driving to reach at destination. So intentionally or unintentionally many crashes occurred and generally get mentally upset which leads to more crime or health disturbance. Due to work pressure and unavoidable environment, some changes in hormones have been occurred. This paper is based on analysis of physiological profile of drivers with the help of smart phone based application. Sensors will collect the real time in vehicle data which would be analyzed with the help of Big Data Analytics. Driver´s behavior is affected by number of factors. This paper will discuss about that number of factors which affects the nature of a person. We examine an algorithm to check whether the behavior of driver is normal or abnormal. This will help the administration to analyze the chances of crashes or crimes that may occurred due to abnormal behavior and to some extent, things can be controlled.