Automated Eye Controlled System for Paralyzed Individuals
DOI:
https://doi.org/10.48047/hbejse56Keywords:
OpenCV (Open-Source Computer Vision Library), Convolutional Neural Networks (CNNs), Haar Cascade Classifiers (HCC), Eye Aspect Ratio (EAR), Support Vector Machines (SVM)Abstract
This project focuses on creating an eye blink detection system for paralyzed individuals which can helps them to communicate and interact with the environment more efficiently by using the computer vision and machine learning technologies the system uses this eye movement as a command and providing hands free interactions to make it accessible and affordable and also focus on design and develop a low cost energy efficient components and a budget friendly sensors to reduce the reliance on costly hardware.
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