Drowsiness and Real-time Road Condition Detection using Heart Rate Sensor, Accelerometer and Gyroscope

Abstract

In recent years, there is a considerable increase in the number of road accidents occurring in India. Most of them are related to driver errors and impaired driving conditions. In this research project, we propose a method to detect driver’s drowsiness level by analysing the Heart Rate Variability (HRV) with the help of a wavelet transformation in the frequency domain and a classifier to identify if the driver is drowsy or awake. To help reduce accidents due to bad driving condition, we analyze and report the condition of the road in real-time. This project uses a system of sensors to monitor the driver’s biometric data and the inertial data of the vehicle. We connect the sensor system in the car to an Android mobile app through a cloud platform. The Android mobile app can receive emergency notifications in real-time and display the conditions of the road.