ABSTRACT
As smart phones evolve researchers
are studying new tech-niques to ease the human-mobile interaction. We propose
Eye Phone, a novel \hand-free" interfacing system capable of driving
mobile applications/functions using only the user's eyes movement and actions
(e.g., wink). Eye Phone tracks the user's eye movement across the phone's
display using the camera mounted on the front of the phone; more specifically,
machine learning algorithms are used to: i) track the eye and infer its
position on the mobile phone display as a user views a particular application;
and ii) detect eye blinks that em-ulate 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 the eye on the
display, mapping this positions to an applications that is activated by a wink.
At no time does the user have to physically touch the phone display.
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CONCLUSION
In this paper, we have focused on
developing a HPI tech-neology solely using one of the phone's growing number of
on-board sensors, i.e., the front-facing camera. We presented the
implementation and evaluation of the Eye Phone proto-type. The Eye Phone relies
on eye tracking and blink de-section to drive a mobile phone user interface and
activate did errant applications or functions on the phone. Although
preliminary, our results indicate that Eye Phone is a promising approach to
driving mobile applications in a hand-free manner. A video of the Eye Phone
demo can be found at .
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