drivers safety by emotion sensing using mmwave radar7042

For advanced driver safety systems, monitoring a driver's emotional state is the most suitable option for predicting the driver?s capacity to supervise or operate the vehicle in cases of unexpected road events and to facilitate better in-car service. Heart rate is a key indicator for assessi

Project Title

Project Area of Specialization

Artificial Intelligence

Project Summary

For advanced driver safety systems, monitoring a driver's emotional state is the most suitable option for predicting the driver’s capacity to supervise or operate the vehicle in cases of unexpected road events and to facilitate better in-car service. Heart rate is a key indicator for assessing health, stress and fitness. The  main target of our force project is to develop an idea of an AI-based safety system that will help in  reducing the number of road accidents and fatalities by analyzing driver's emotions i-e fatigue, stress,  tiredness (drowsy) or sadness using mmwave radar that will be monitoring the heart rate, breathing rate,  which will be useful in identifying the cause of drivers emotion there will be a mobile application that  will be providing us the solution or suggesting us suitable precautions that could help in enlightening the  mood and emotion of the driver.

Project Objectives

In the majority of the models, the primary objective is based on safe driving behavior.  As emotion is an instantaneous function hence we would provide a contactless emotion  sensor, as it is not practically possible for a driver to carry a sensor that needs contact  all the time, which would detect the stress, fatigue or tiredness level of the driver to  avoid the risk of accidents.  

Moreover, our other goal is to make an android application that continuously observes  driver’s vital signs to assist in decision making that provides guidance to the driver in a  loud and clear manner. We will be connecting DS18B20 temperature sensor and gps to  our raspberry pi for predicting the drivers on-spot emotion that is fatigue, drowsiness  and stress.

Project Implementation Method

Benefits of the Project

 This work classified three main causes of driving accidents, viz.  distraction, fatigue, and aggressive driving behavior. Our project specifically focuses on the safety of  drivers, the driver’s attentiveness is the primary element for safe driving. Distraction and fatigue are  the main causes of road accidents. The studies reveal that several biological and physiological  measurements can accurately detect a driver’s mental engagement and for this purpose we have used  the mm wave radar for the emotion sensing of the driver by observing their ECG which would  provide an innovative way of minimizing the risk of accidents due to fatigue or tiredness . This  project would add a very attractive feature to the automobiles for the people who are involved in long  distance travelling frequently.

Technical Details of Final Deliverable

Our project is a hardware and software based project which is developed for emotion  sensing by using mmwave radar, a method we used for the evaluation of emotions is  machine learning technique based on humans ECG. We will be making an AI Model that  predicts the driver's health condition throughout his journey and pairing algorithms that  matches the predicted health condition to the solution that will be provided using our  mobile application

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com