Cheap gadget lets you steer a wheelchair with your eyes
People who have lost the use of their body
because of multiple sclerosis or spinal cord injury, for example, can
usually move their eyes, because eyes are directly connected to the
brain. Several technologies allow people to stare at arrows on a
computer and direct the movement of a wheelchair, but there is a
considerable delay between the movement of the eyes and the chair, and
the person can't look around while manipulating the chair.
To overcome this problem, Aldo Faisal
at Imperial College London and his colleagues have developed software
that uses subtle eye movements to distinguish when a person is looking
around and when they want to move. The team will showcase the technology
at the Imperial Festival this weekend in London.
"Current eye tracking software doesn't
allow you to look around while moving," says Faisal. "And technologies
that use brainwaves to control wheelchairs aren't common because it
takes many months to train a person to use them, and then you need to
really concentrate to move – it's not natural."
Gazing intently
His team has observed how people move their
eyes when walking around and used the data to build software that
decodes a person's intentions. The finished system involves two cameras –
one trained on each eye – that observe eye movements and pass that
information onto a laptop computer, which works out which direction and
how far into the distance a person is looking.
But then you've got the King Midas problem, says
Faisal. "Everything he touched turned into gold, and we don't want to
move everywhere we look."
Exactly
how they solved this problem is still under wraps, he says, but it
involved analysing subtle eye movement patterns to distinguish those
relevant to locomotion from those we use when merely looking around.
"Our software can tell the difference between looking at someone using a
coffee machine, and wanting to walk over to that coffee machine," says
Faisal.
The system responds within 10 milliseconds
to a person's intention to move. Typically anything under about 15 or
20 milliseconds feels instantaneous, says Faisal.
The team has tested the system on people
without physical disabilities and found that they were able to steer
through a crowded building faster and with fewer mistakes than with
current technologies that track eye movements.
Faisal says the team hopes to have the
system ready for sale within three years. If successful, it could be
adapted for other uses, like piloting a drone or a plane. It could also
work in advertising to get people's attention as they are window
shopping, say. If the storefront could watch your eyes and tell from the
pattern of your eye movement that you are about to walk away, it might
change and give you another advertisement to keep you interested.
The whole system is likely to cost about
£50. "Our technology can be crap and cheap because all the smartness is
in the software," says Faisal.
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