Eye Controller Software created by Researcher – will help you to control your phone with your eyes
A team of international researcher and scientists from all over the world and including an Indian-origin graduate student, a team from Max Planck Institute for Informatics in Germany, Massachusetts Institute of Technology (MIT) and the University of Georgia in the US are developing a special software – Eye Controller Software, that could let you control your phone with your naked eyes.
The Information has so far been able to train the 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, MIT Technology Review reported.
The GazeCapture and iTracker
According to study co-author Aditya Khosla from MIT, the system’s accuracy will improve with more data. the researcher created an app called GazeCapture that gathered data about how people look at their phones in different environments outside the confines of a lab.
Now you can use your phone like Tony Stark operates his gadget in Ironman that could be an Awesome app creating by researchers.
Users’ gaze was recorded with the phone’s front camera as they were shown pulsating dots on a smartphone screen. To make sure they were paying attention, they were then shown a dot with an “L” or “R” inside it, and they had to tap the left or ride side of the screen in response.
GazeCapture information was then used to train software called iTracker, which can also run on an iPhone. 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.
To control a mobile and to be able to play games with your eyes requires a lot of special software. It must track your eye movement and simultaneously gauge what exactly you are trying to accomplish on the screen. This will depend on the kind of gameplay and eye movements will depend on the game you are playing.
About 1,500 people have used the GazeCapture app so far, Khosla said, adding if the researchers can get data from 10,000 people they’ll be able to reduce iTracker’s error rate to half a centimetre, which should be good enough for a range of eye-tracking applications.
The study results were recently presented at the IEEE Conference on Computer Vision and Pattern Recognition in Seattle, Washington.
Other potential usages of the software (Eye Controller Software) could be in medical diagnoses, particularly to diagnose conditions including schizophrenia and concussions, Khosla said.