Eye Phone

Eye Phone

Ilma banu.W, Archana.S

Ilma banu.W, Archana.S " Eye Phone" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Special Issue | NCPCIT-18 , September 2018, URL: http://www.ijtrd.com/papers/IJTRD18004.pdf

As smart phones involving researchers are studying new techniques for easy to human interaction. We propose EYE PHONE, a novel “HAND FREE” system capable of driving mobile applications / functions using only the user eye movement and actions Example: wink. Eye phone tracks users eye movement across the phone display using the camera mounted on the front of the phone; more specifically machine learning algorithms are used to: • Track the eye and position of the mobile phone display as a user views a particular application.• Detect eye blinks that emulate mouse clicks to activate the target application under view We present a prototype implementation of eye phone on a Nokia N810 which is capable of tracking the position of eye on the display mapping this positions to an applications that is activated by a wink. At no time does the users have to physically touch the phone display.

Human-phoneinteraction, mobile sensing systems, machine learning, mobile phone

Special Issue | NCPCIT-18 , September 2018


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