Eye Blink Oriented Chat

Abstract: Digitalization has become an essential aspect of modern-day long-distance communication and is used extensively in daily life. As a result, it is crucial that this technology is accessible to everyone, including differently-abled individuals. The objective of this study is to create an eye-controlled virtual keyboard that enables differently-abled individuals to use text features effectively. To achieve this, the study utilizes Dlib, OpenCV, and Convolutional Neural Networks (CNNs) to monitor eye movement and blinks, allowing the user to select desired keys on the virtual keyboard. By accurately predicting the eye's state using neural networks, the system operates the virtual keyboard with precision. Through this study, a highly efficient method for differently-abled individuals to communicate through text has been established, paving the way for future advancements and research in this field