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The way we walk can tell us just as much about our health,
as our pulse or blood pressure.
Professor Katabi's group at MIT CSAIL
can now measure a person's walking speed continuously
and non-intrusively with a device
called WiGait by sending low radiation wireless
signals that reflect off of a person's body
and back to the device.
WiGait can measure different people's walking speeds
with 95% to 99% accuracy.
WiGait could help detect injuries or health issues,
like cognitive decline or cardiac disease
and does so while anonymizing your data as nothing
more than a dot on a screen.
WiGait first distinguishes walking from other movements,
like reading or cleaning and then uses a special signal
processing algorithms to distinguish
between different walking speeds.
WiGait is also 85% to 99% accurate at measuring
a person's stride-length which could allow researchers
to better understand conditions like Parkinson's disease
that are characterized by reduced step size.
In the future, the researchers hope to test the system
on people with disabilities like Parkinson's, multiple
sclerosis, or Alzheimer's.