App turns garden-variety smartwatches into highly-capable sleep trackers
While
there square measure already fitness trackers and smartwatches that square
measure specifically designed to trace the wearer's sleep patterns, a world
team of scientists believe that with the correct code, regular smartwatches
square measure over up to the work. to it finish, they've created Associate in
Nursing app called SleepGuard.
Developed
by researchers from the UK's Lancaster University and China's Northwest
University, the app utilizes the sensors on regular smartwatches to observe
sleep-affecting factors like body movements, close lightweight, and noise.
More
specifically, it uses the watch's measuring instrument and gyro to see however
usually the user rolls over within the night (lots of rolls square measure a
signal of restlessness), that of 4 sleeping postures they are adopting (front,
back, side, or on the arm), and that of 3 positions their watch-wearing hand is
in.
As
way because the latter goes, apparently having the hand on the abdomen will
indicate discomfort, putting it on the pinnacle might place pressure on the
shoulder nerves and therefore cause arm pain because of restricted blood flow,
whereas putt it on the chest may end up in nightmares caused by pressure on the
center.
Working
with the watch's lightweight sensing element, the app is in a position to
inform if the sleeping atmosphere is just too bright, with the mic getting used
to sense excessive noise from external sources – the mic is additionally
utilised to observe the person's respiratory patterns, and to notice if they
are snoring or talking in their sleep.
Once
all the information is analyzed, SleepGuard provides users with a sleep report,
and suggests causes of (along with solutions for) any issues they'll be having.
it's been tested on fifteen people thus far, Associate in Nursingd was found to
possess an accuracy almost like that of consumer-grade sleep monitors.
"Our
project aims to unlock the complete potential of ready-made client
smartwatches, taking advantage of their subtle suite of sensors to achieve a
fuller understanding of a wearer's sleep patterns," says Lancaster's Dr.
Petteri Nurmi, author of a paper on the study.
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