RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments
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Updated
Oct 10, 2024 - Python
RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments
Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
Repository for Classification of Open/Closed eyes for Android devices
Track eye pupil movement, detects blinking of an eye from videos taken from medical devices in which only eye is visible
Eye-Controlled keyboard using Neural Networks.
This is a project implementing Computer Vision techniques to detect drowsiness of a driver and emit sound and luminous alert.
DLIB based facial recognition with liveliness detection.
detection with Dlib on android,include eyes blink detection,head orientation detection
Face And Eye Blink Detection
Wearable device with RFduino for blink detection
Mouse pointer control app. Maps eye blinks to mouse actions using CNN classifier.
It is build upon this knowledge and develop a computer vision application that is capable of detecting blinks in video streams using facial landmarks and OpenCV.
Use of EEG for controlling Robot
Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
Run Python programs by blinking twice
This project detects eye blinks in real-time using Eye Aspect Ratio (EAR) and MediaPipe's facial landmark detection. It draws eye landmarks, calculates the EAR, and plots the results in real-time.
Raw repository of the CBSD project - Unipd
It consists of the code to find the number of blinks detected through a webcam using OpenCV
The program can detect if the person is sleepy or not using the Dlib library. If someone is closing his eyes so the program will calculate the aspect ratio of eyes and give the conclusion that the person fell asleep at the specified time
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