Drowsiness Detection Rearview Mirror

Project Overview

Drowsy driving is one of the leading causes of accidents and fatilites. To make driving safer, our team has been working on a way to alert a driver if they are becoming to drowsy. This has led us to the idea of the drowsiness-sensing rear-view mirror. It is able to predict when the driver is becoming too sleepy and sends a signal to the vehicle to enable assistive driving features. To predict how sleepy the driver is, a radar system inside the mirror observes the driver. The radar emits a wave and calculates the driver’s heart rate, breathing rate, and angle of their head from the reflected wave. The system performs signal processing to extract the signals of the heart, lungs, and head from the received wave. Following this step, the data is fed into an algorithm which predicts if the driver is falling asleep due to changes in their body. Predictors of drowsiness include slower heart rate, breathing rate and driver’s head facing down. Once the algorithm estimates whether the driver is falling asleep, it alerts the vehicle’s operating system. Then, the vehicle will activate safety driving measures and alert the driver. We hope with all the hard work we poured into this project, driving will become a safer and more enjoyable experience.

Sponsors & Advisors

Bayaner Arigong

Sponsor & Advisor
Ph.D.
Assistant Professor

Jonathan Casamayor

Advisor
Ph.D. Candidate

Get in touch

If you would like to learn more information or have any questions, please reach out to one of our email addresses.