GAZE ESTIMATION AND PLOTTING DURING DRIVING AND OTHER ACTIVITIES

Abstract

The direction of a person’s eye gaze is a critical information. In our research presented the estimating of a person’s eye gaze tracking by our system using both head and eye cues which helps in a number of applications such as estimating the maturity level of a driver by estimating eye gaze fixations. Observing the concentration level of students during live classes, Detecting interest level of people while watching advertisements. To accomplished this research we divide our work into small parts such as we first extract features of image using computer vision and digital images processing concepts which include some major techniques such as template matching, eye comer detection, handled noise in iipages and tried to smooth the image in order to reduce noise with the help of different filters.. After feature detection we created our model :with the help of machine learning with data set of eye gaze which gives gaze coordinates, eye lid difference, horizontal and vertical head movement fetched from the camera. Finally, in the.end we.test and evaluated our results and improved system accuracy according to the results.