mEBAL is a multimodal database for eye blink detection and attention level estimation.
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Updated
May 13, 2025
mEBAL is a multimodal database for eye blink detection and attention level estimation.
In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person
Transform eyes into special Naruto forms using Dlib
Detection blink eye with Tensorflow Face Landmarks Detection
Swift Eye Blink Detector
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.
Hardware integration with LabVIEW
The repository consists of a custom face recognition along with eye blink detector used as a liveliness detector.
hardware projects
EYEM turns eye blinks into Morse and text instantly in your browser, private and serverless. Auto-calibrates, supports 54 symbols, live two-way translation, Morse beep, voice-to-Morse, quick copy, collapsible table and C/M/F/R shortcuts with a dark purple accessible UI for inclusive assistive needs.
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