The idea of this project is to create an unconventional user interface; distinctively using real-time video of the user’s face captured using an off-the-self web-camera.
This project retrieves real-time images from a webcam and converts them to grayscale images. Then, it extracts pre-defined feature vectors from the images and sends them to Support Vector Machine (SVM) to get the classification. Using the result, program will be able to control the mouse movement in real-time.
The facial features nose tip and eyes shall be detect and tracked in real-time to use their movements and actions as mouse events. The coordinates and movement of the nose tip in the live video nourishes are translated to become the coordinates and movements of the mouse pointer in the user’s screen.
The intention of left or right eye blinks are recognize and interpreted as action to fire right or left mouse click event.
