Real time stress alert for drivers in sound polluted environment

Abstract

Stress is one of the primary reasons of road accidents while driving. Sound pollution causes critical impact on the physiological condition, it decreases concentration, and increases the stress levels. Development of technologies for recognizing stress is a noteworthy challenge in the field of accident evasion systems. This research presents stress level identification of a driver during sound polluted environment. A model of stress identification has been designed utilizing individual level on drivers physical states, and impacts on the levels of stress. The proposed stress detection model detects stress by periodically collecting heart rate interval data, and skin temperature data through sensors in the smart watch, movement pattern data through location information, and sound levels data through in the smart phone. If Heart Rate Variability value generated from Electrocardiogram signal is less than a threshold value then stress is detected. If the stress level is high, then system will provide a safety alert, which helps drivers for safe driving.