A device which monitors the brainwaves of drivers is being developed to
help reduce the number of motor vehicle accidents caused by driver
fatigue, which is estimated to be a factor in at least 20 per cent of
fatal crashes in NSW.
University of Technology Sydney researchers Dr Sara Lal and Professor
Ashley Craig are working on a "fatigue countermeasure" to give drivers
early warning of reduced alertness and impending drowsiness.
Dr Lal's work has been backed by a $250,000 National Health and Medical
Research Council Research Fellowship, the first of its kind to be
awarded to a UTS researcher.
"In the next two or three years I'm aiming to have a device for drivers
that's ready to use and practical - something that's non-intrusive with
a headset that's small and comfortable to wear," Dr Lal said.
"We envisage a warning system that alerts the driver to the early stages
of fatigue, with further warnings of mid-range fatigue and a red alert.
"The warnings will have to be given in such a way that the driver will
not be startled or distracted, however the system will detect the
tell-tale changes in brain wave activity long before the driver actually
starts falling asleep."
Dr Lal said the obvious first application would be in the road transport
industry, but she hoped that a device of this kind might also be
accepted as a necessity in private motor vehicles.
It would also have important applications in public transport, aviation,
in the military, or in industries where people operate dangerous heavy
machinery, particularly if they are shift workers.
The new study, which builds on her PhD research into fatigue related
brain activity, will focus on subjects who suffer from sleep disorders
such as sleep apnoea, which are common among professional drivers, such
as truck drivers.
Subjects are being recruited with the assistance of sleep disorder
clinics in Sydney, but the research team has also issued a public call
for volunteers.
Data will be collected for 100 professional and 100 non-professional
drivers who will be asked to "drive" a simulator over a couple of hours
while a range of physiological information is collected. They also will
be asked to complete questionnaires to assess psychological factors
related to fatigue.
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