gnousias/blink_detection_and_classification
A demo for iris and sclera segmentation using neural networks. This technique allows blink detection and classification.
This project helps researchers and medical professionals analyze eye blink patterns from video footage. It takes close-distance face images or videos as input and outputs detailed information about blinks, including counts of complete and incomplete blinks, eyelid distance, and iris diameter. This tool is designed for medical researchers, neurologists, or optometrists investigating the relationship between blinking and various health conditions.
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Use this if you need to objectively quantify and classify eye blinks from video data for research or clinical assessment.
Not ideal if you need a real-time, lightweight solution for consumer applications or if you don't have access to Matlab or Octave with the Deep Learning Toolbox.
Stars
7
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Language
MATLAB
License
MIT
Category
Last pushed
Apr 04, 2022
Commits (30d)
0
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