DriveAID is a review/learning tool to help teen drivers improve their driving ability especially since covid-19 has had a significant impact in the education of new drivers.
DriveAID aims to provide teens & parents with a method of monitoring their teen's driving ability through a concensual process in which both the teen and parent can review emotional and gesture data from a driving session to identify potential issues in their teen's driving.
Emotion And Gesture Recognition Demo
Each detection model folder contains a requirements.txt file. Please install the dependencies inside using pip
pip install -R emotion_detection/requirements.txt
pip install -R gesture_detection/requirements.txt
The dashboard demo requirements can be found in the package.json file.
Dlib Shape Predictor 68 Face Landmarks
- This project utilizes the FER (facial emotion recognition) library's CNN facial detection model. The usage of this library has been listed here as per the MIT licensing agreement.
Graphics - Google Material Design Icons
- The logo for our project utilizes custom modified icons from the Google Material Design Icons library. This change has been listed here as per the Apache 2.0 licensing agreement of the library.
GitHub - Geek-ubaid/Stress-Detection
CNN Based Face Detector From DLIB
Face Detection Using OpenCV
CNN State Farm Distracted Driver Detection Notebook
CNN State Farm Distracted Driver Detection Dataset
Affectiva In-Cabin Sensing For Teen Driver Safety