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Eye tracking for devices may soon become a reality
Posted on: 04/Jul/2016 11:20:14 AM
Scientists have been developing a new mobile software which can identify accurately where a person is looking. The software can make this identification in real time. This new development will soon enable mobile devices like smartphones or tablets be controlled by eye movements. The technology is being developed by scientists at Max Planck Institute for Informatics in Germany, Massachusetts Institute of Technology (MIT) and University of Georgia in the US.
The researchers are crowd sourcing the collection of gaze information and sing it to teach mobile software how to figure out where a person is looking in. This, they feel, will make eye tracking cheap, compact and accurate enough to be included in smartphones, researchers are crowdsourcing the collection. Till now, they have been able to train software to identify where a person is looking with an accuracy of about a centimetre on a mobile phone and 1.7 centimetres on a tablet.
Speaking about this, one of the researchers said, It`s still not exact enough to use for consumer applications. However, I believe the system`s accuracy will improve with more data.
The new development may make eye tracking more widespread. It will also be useful in video games, or when the user needs to navigate his or her smartphone without tapping or swiping.
An app called GazeCapture was first developed by the researchers. This app gathered data on how people look at their phones in different environments outside the confines of a lab. This was then shown pulsating on the screen of a smartphone. Users were then shown a dot with an L or R inside it. In response, they had to tap the left or ride side of the screen. A software called iTracker was then used on the information gathered.
Say the researchers, The handset`s camera captures your face, and the software considers factors like the position and direction of your head and eyes to figure out where your gaze is focused on the screen. About 1,500 people have used the GazeCapture app so far. If the researchers can get data from 10,000 people they will be able to reduce the software`s error rate to half a centimetre, which should be good enough for a range of eye-tracking applications.
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