Controlling android device with eye tracking
Tamim, Md. Tahsin Alam
Robin, S. M. Tarequl Hasan
Mahmud, Shah Tanvir
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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. 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.