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Intelligent Driver Monitoring system for Autonomous Vehicles
Need to start working on analysis on heartbeat when the driver is feeling drowsy:
Lawn detection in yawn.py is calculated based on the ratio of mouth closure, which is calculated using the feature-points we get using the dlib library.
However, not every time the user is open mouth-wide he is yawning. This will result in the wrong assumption of the user being dizzy.
There needs to be a better alternative to this algorithm to detect yawns.
You are open to going through various research papers and coming up with a different approach. Comment your ideas below and let's see if we could implement them.
Measuring head-rotation for potential distraction detection:
Getting started for implementing activity recognition of driver while driving. Few of the potentially dangerous activities could be:
Talking on the phone, Eating or Looking off-road.
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