Controlling computers with simple eye movements

The device could also allow people to control an electronic wheelchair simply by looking where they want to go or control a robotic prosthetic arm.

Composed from off-the-shelf materials, the new device can work out exactly where a person is looking by tracking their eye movements, allowing them to control a cursor on a screen just like a normal computer mouse.

Researchers from Imperial College London demonstrated its functionality by getting a group of people to play the classic computer game Pong without any kind of handset.

Besides, users were able to browse the web and write emails "hands-off," the Journal of Neural Engineering reports.

Aldo Faisal, a lecturer in neurotechnology at Imperial's Department of Bioengineering, is confident in the ability to utilise eye movements given that six of the subjects, who had never used their eyes as a control input before, could still register a respectable score within 20 percent of the able-bodied users after just 10 minutes of using the device for the first time, according to an Imperial statement.

The commercially viable device uses just one watt of power and can transmit data wirelessly over Wi-Fi or via USB into any Windows or Linux computer.

The GT3D system has also solved the 'Midas touch problem', allowing users to click on an item on the screen using their eyes, instead of a mouse button.

Faisal said, "Crucially, we have achieved two things: We have built a 3D eye tracking system hundreds of times cheaper than commercial systems and used it to build a real-time brain machine interface that allows patients to interact more smoothly and more quickly than existing invasive technologies that are tens of thousands of times more expensive.

"This is frugal innovation. Developing smarter software and piggy-backing existing hardware to create devices that can help people worldwide independent of their health care circumstances."

The GT3D device is made up of two fast video game console cameras, costing less than 20 pounds each, that are attached, outside of the line of vision, to a pair of glasses that cost just 3 pounds. The cameras constantly take pictures of the eye, working out where the pupil is pointing, and from this, the researchers can use a set of calibrations to work out exactly where a person is looking on the screen.