Navigation of Mobile Based on Eye Tracking Technology

This research looks at the navigation of the mobile using the technology of eye tracking to ease the human mobile interaction. This tracking system enables users to interact with the mobile application/functions and navigate without physically touching the device that is using only the movements of eyes and actions (e. g. Blink). This tracks the eye movements of the user to navigate the phones display using the front camera or sensor mounted in front of the phone, machine learning algorithms are used to i) track the eye and gets its position on the mobile phone's display as a user views a particular area of the mobile or an application and ii) detect eye blinks that emulates touch events to perform the task or activate the target application under view. Using this user does not need to physically touch the phone for navigation purpose. Eye tracking systems have greatly improved, beginning to play an important role in the assistive technology field. Eye tracking relates to the capability of some devices to detect and measure eye movements, with the aim to precisely identify the user's gaze direction on a screen. The acquired data can then be exploited to provide commands to the Mobile or application running for various operations like scrolling and link selection, to be easily performed without using the hands.