Gaze Detection – A Better Way to Type
Mohammad Sufiyaan Khan, A. Akhil, Vaishnavi R C, Yelamanchili Srija, P Bhavani · International Journal of Research Publication and Reviews · 2024
The research provides a hands-free text input method using facial landmarks and blinking analysis.It uses OpenCV and Mediapipe to process webcam frames in real time and detect facial landmarks.By analyzing the blinking ratio, the system interprets blinks as character selections on a virtual keyboard.The text input is constantly updated on a text board, enabling for hands-free typing.Deep learning increases the system's stability and usability for consumers.Eventually, the code provides a simple yet efficient solution for hands-free text input by combining computer vision and deep learning approaches.