Wildeye - Passive Eye-Gaze Tracking
AN AWESOME INNOVATION
Wildeye - Passive Eye-Gaze Tracking
Project WildEye is a collaboration between Seasus and the University of Malta which proposes a passive eye-gaze tracking platform aimed to provide an alternative communication channel for persons with physical disabilities, permitting them to perform mundane activities such as to operate a computer, hence improving their quality of life and independence, or for healthy individuals as an alternative access method.
In this platform, eye and head movements are captured in a stream of image frames acquired by a webcam, and subsequently processed by a computer (and possibly mobile devices) in order to estimate the gaze direction according to the eye and head pose components. Mapping the eye-gaze to a computer screen permits commands to be issued by the selection of icons on a suitably designed user interface. This project addresses challenges associated with eye-gaze tracking under uncontrolled daily life conditions, including handling of head and non-rigid face movements, and reduction or elimination of user calibration for more natural user interaction.
The WildEye project is financed by the Malta Council for Science & Technology through FUSION: The R&I Technology Development Programme 2016.
Abstract
Eye movements have long been recognised to provide an alternative channel for communication with, or control of, a machine such as a computer, substituting traditional peripheral devices. The ample information inherent to the eye movements has attracted increasing interest through the years, leading to a host of eye-gaze tracking applications in several fields, including assistive communication, automotive engineering, and marketing and advertising research.
This project proposes a passive eye-gaze tracking platform aimed to provide an alternative communication channel for persons with physical disabilities, permitting them to perform mundane activities such as to operate a computer, hence improving their quality of life and independence, or for healthy individuals as an alternative access method.
In the proposed platform, eye and head movements are captured in a stream of image frames acquired by a webcam, and subsequently processed by a computer (and possibly mobile devices) in order to estimate the gaze direction according to the eye and head pose components. Mapping the eye-gaze to a computer screen permits commands to be issued by the selection of icons on a suitably designed user interface. This project addresses challenges associated with eye-gaze tracking under uncontrolled daily life conditions, including handling of head and non-rigid face movements, and reduction or elimination of user calibration for more natural user interaction.
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