The Indirect Keyboard Control System by Using the Gaze Tracing Based on Haar Classifier in OpenCV
Li Changzheng, Chung-Kyue Kim, Jong-Seung Park · 2009
This paper describes on the indirect interface system in which general users assign computer instructions just through the gaze tracing, without mouse or keyboard. We use the Web camera to replace the computer-input system. The face region and the eye region was extracted based on Haar classifier implemented on open source computer vision library (OpenCV). It controls mouse-moving by automatically affecting the position where eyesight focuses on, and simulates mouse-click by affecting blinking action. We use the virtual keyboard displayed on monitor to simulate the keyboard entry. As a result, more than 95% of the tracing accuracy was achieved when the size of a single key is larger than 25 pixels.