Controlling android device with eye tracking

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.Cataloged from PDF version of thesis report.Includes bibliographical references (page 25)For people with mobility disabilities, communicating via smartphone is often frustrating, and require constant assistance. Among the diseases, only Parkinsons disease alone a↵ects up to 10 million people worldwide[1]. Especially, people having hand tremor, have major issues using mobile phones. To solve this, we want to implement a mobile application that will enable users to operate the mobile device touch-free. Most of the current eye tracking solutions use expensive hardware, but our proposed system will not require any additional hardware, it will use mobile device’s front camera. To achieve this, we will use combination of few detection methods including: face, eye, pupil, corner detection and calibration of the data.Sakib HasanMd. Tahsin Alam TamimS. M. Tarequl Hasan RobinSadia TasnimShah Tanvir MahmudB. Computer Science and Engineerin