Real-Time Eye Blink Detection using Facial Landmarks

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Realistic Speech-Driven Facial Animation with GANs (2019, methodology): “We use a blink detector based on the one proposed in [33], which relies on the eye aspect ratio (EAR) to detect the occurrence of blinks in videos.”
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking (2018, methodology): “[28] proposed a scalar quantity that measures the aspect ratio of the rectangular bounding box of an eye (eye aspect ratio – EAR) corresponding to the eye openness degree in each frame.”
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking (2018, methodology): “EAR method replies on eye landmarks to analyze eye state, in terms of the ratio between the distance of upper and lower lid, and the distance between left and right corner point, which is defined as ‖p2−p6‖+‖p3−p5‖2‖p1−p4‖ (see Figure 2(b)).”