Dina Katabi: A new way to monitor vital signs (that can see through walls)
狄娜·卡塔碧: 一種能穿透牆壁監測生命體徵的新方法
Dina Katabi investigates how AI can make wireless devices sense human motion and vital signs. Full bio
Double-click the English transcript below to play the video.
very much fascinated by Star Wars,
很迷《星際大戰》,
is this notion of the Force,
all people and all objects
that you can't even see.
I would be sitting at home,
trying to feel the Force,
and started working on wireless signals.
開始研究無線電信號。
or cellular systems,
kept nagging me,
they are like the Force."
就像是『原力』。」
they travel through space,
and walls and occlusions,
because our bodies are full of water,
just sense these minute reflections,
反射無線電信號的儀器,
that I cannot see.
on building such a device,
建造這樣的儀器,
some of our early results.
in the other office, behind the wall,
牆後的另一間辦公室,
to monitor him as he moves.
using wireless signals.
is tracking his movements very accurately,
非常準確地跟踪學生的動向,
with the surrounding wireless signals.
無線電信號的互動。
that we can sense people
any wearables, through walls,
to think about is radar.
have seen this picture.
comes back to you,
wireless power at somebody.
強大功率的無線電波;
like if they were in a microwave.
to deal with very weak signals,
has to be very sensitive.
unlike the sky, where it's empty --
但地面上就不同——
that you can catch there.
天空中偵測到一架飛機。
and people there are.
not only reflects off the person,
個人會反射信號,
off the floor, the ceiling,
off me and then off you,
then off the floor.
have evolved a lot,
became much more powerful,
very sensitive radios
靈敏度高的無線電儀器,
細小微弱的無線電訊號。
of machine learning recently,
machine-learning models
and interpret them
in the environment.
the radio is like the ear of our device
is like the brain,
a very powerful device.
using wireless signals?
very dear to my heart,
on some physiological signal
捕捉到睡眠的狀況,
sees him as he walks to bed,
is what people call actigraphy.
評估該人的睡眠品質。
that we can actually get sleep
the change in the brain waves
that as we go to sleep,
and we enter different stages:
會有不同的變化,分別有:
and REM, or rapid eye movement.
和快速動眼 ( REM )階段。
related to sleep disorders,
to various diseases.
are associated with depression.
與憂鬱症有關。
are associated with Alzheimer's.
睡眠階段狀態,
to the hospital,
electrodes on their head,
that I can do the same thing
on the person's body?
做同樣的事呢?
wireless signal,
throughout the night.
when this person is dreaming.
這個人何時開始做夢。
while you are sitting like that,
staying at a steady level
and show you a live demo.
向各位展示活體示範
to monitor Zach's breathing.
that you see here is the device,
in the video with the other guy,
his inhale-exhale motion.
吸氣和呼氣的動作。
are Zach breathing.
at a steady level,
physiological signals for you,
about this device
without any wearables,
可以做很多事情,
to change his behavior
改變任何行為,
or charge anything special.
more information about their patients,
in chronic diseases,
and even depression.
甚至是憂鬱症。
are very important.
of health care in the US
about chronic diseases
to the hospital and the emergency room,
chronic disease patients in their home,
慢性病患的家中監測他們的情況,
heartbeat, mobility, sleep --
活動及睡眠的變化,
before they occur
with multiple doctors
with many patients.
with patients that have COPD,
慢性阻塞性肺病的患者,
on improving their life,
and the Force in Star Wars,
「原力」非常著迷,
very much fascinated,
health care with this new force.
we deployed is actually my aunt.
我的阿姨就是其中之一。
in the audience
loved ones who have chronic diseases.
或是患有慢性疾病的親人。
that has a chronic disease patient,
sitting in the background
of this chronic disease patient,
in the physiological signal
as we know it today,
chronic diseases
非常感謝你。
like the ethical framework around this?
使用儀器的道德機制如何呢?
this technology from being used
types of applications?
a very important question, of course,
一個重要的問題,
about the Dark Side of the Force?
from trying to use this device
監測他的情況。
by doing certain movements,
who you are asking the device to monitor.
that we integrate to prevent misuse,
整合到系統中,
for policy, like everything else,
就像其它科技一樣,
we can control any misuse.
就能控制任何的不當使用。
ABOUT THE SPEAKER
Dina Katabi - TechnologistDina Katabi investigates how AI can make wireless devices sense human motion and vital signs.
Why you should listen
Dina Katabi designs new wireless devices that use machine learning to sense people through walls and occlusions. Her devices look like a Wi-Fi box. They transmit a low-power wireless signal and capture its reflections as it bounces off people and objects. They analyze those reflections to learn how people walk, measure their gait and detect elderly falls. The device can also measure a person's breathing, heart rate and sleep quality using wireless signals, without any sensor on the person's body. Katabi is working with medical doctors to use her technology to detect health emergencies and provide a better understanding of chronic diseases such as Alzheimer's and Parkinson's.
Katabi is the Andrew & Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. She is also the director of the MIT's Center for Wireless Networks and Mobile Computing, a member of the National Academy of Engineering and a recipient of the MacArthur Fellowship. Her research has been recognized by the ACM Prize in Computing, the ACM Grace Murray Hopper Award, the SIGCOMM Test-of-Time Award, the IEEE William R. Bennett prize, the Faculty Research Innovation Fellowship, a Sloan Fellowship and multiple best paper awards. Several startups have been spun out of her lab, such as PiCharging and Emerald.
Dina Katabi | Speaker | TED.com