My team, I'm personally based right here in London, is responsible for Android Wear which
is our platform for wearables based on Google's compute platform.
And we're really working very hard to bring all of that power to you wherever you are,
because a wearable product is fundamentally always right there.
You can glance at it and see useful information and you can use it to get things done as you
move around the world.
Now, as we standard to decide what we wanted to do in this space, we thought really deeply
and felt very strongly that if you look at what people wear, we all wear different clothes.
We all carry different accessories.
We all have a really individual sense of style.
And, therefore, we didn't think that a one-size-fits-all model, where we would build a product ourselves,
would actually work for wearables.
So we set out to do everything I'm about to show you in partnership with partners in this
space that exist already, some of the electronics companies that we were working with for phones
and tablets, but also a range of new partners from a watch industry.
People like Tag Heuer or Michael Kors or Nixon.
And we really fundamentally believe that we can't make these experiences accessible to
everyone out there in the world without those really important partnerships.
So it's exciting to be able to do this in collaboration with many people around the
world.
And against that backdrop and what Behshad was showing you is we do feel there's tremendous
potential to actually assist people with this product that we're building.
So let's take a closer look.
If we switch to the demo here, you can see my watch.
And what you're seeing here is the LG Watch Sport which is a product from just one of
our partners.
And all of the Assistant use cases that Behshad just demoed work here as well.
So one of the things I like to do with this watch is take it for a run.
And these days, when I get home from the office, I want to make sure I'm running in daylight.
And, you know, it's the time of a year when that's been changing so I can just go ahead
and ask it questions like, "What time is sunset?"
And get those answers right here.
So lots of times, I go out directly for a run.
And everything that Behshad has already showed you works right here on your wrist.
We're also using the Assistant to actually control the things that you can do.
Imagine if I was carrying a heavy bag of shopping or imagine I'm in the kitchen and I'm cooking
and I want to set the timer, I can simply say, "Set a timer for ten minutes."
And while my hands have been busy, my watch is keeping track of that time.
And of course as I continue cooking I can just glance right down and see how much time
is left on that timer.
So it's great to have those things available, but some of the places where this is most
useful is actually where the Assistant works together across devices to really help me.
So I have a Google Home in my kitchen, and I love to cook, and I use it a lot for doing
things like setting timers or following recipes.
But I don't know about you, when I'm cooking there are a few staple ingredients that I
keep in my cupboards, like olive oil and so forth, and I always find that when I run out
of one of those things, I forget to replenish it when I go shopping.
So now what I do is I say to my Google Home -- you won't see my watch respond here -- I
say, "Hey, Google, add soy sauce to my shopping list."
And I've actually told the Google Assistant where my local -- where my local supermarket
is so when I walk past or walk into the store, I automatically get a card just like this
that appears, and it reminds me when I walk into the local store that I told it that soy
sauce is what I need to replenish.
And now I can cook a great Chinese dish the next time I'm in the kitchen and not have
a lack of that important ingredient.
So as we've refined Android Wear, what we find is that there are common pieces of information
that people were asking for from the Assistant on the watch all the time.
Things like the weather or, I just showed you, the time of sunset.
And we've actually worked hard to make any watch face, no matter what its style is, to
show people those kind of information.
So you can see right here I'm looking at the weather, which is something we see a lot of
questions for.
But I can go ahead and long press on the watch face here and decide that maybe instead of
seeing the battery, I would like to see the time of sunrise and sunset.
And now when I go home, I'll be able to see if I've got time for that run without even
having to ask a question.
And, in fact, this is something we've heard a lot.
People have pieces of information that they ask for habitually, and they actually vary
a ton between people.
For instance I travel a lot between the States and the U.K., and one of the things I like
to have on my watch face is the exchange rate for those currencies, whereas for many other
people that's not of particular interest.
So the ability to choose the information that matters to you and have it available glanceably
throughout the day is really, really valuable.
And in fact, that's kind of what watches are for in the first place.
The reason we have time on our wrist is to help us make decisions as we go around our
days.
I want to be able to look down and say maybe we're getting towards the end of this meeting
so I need to start bringing proceedings to a close, or do I have time to grab a coffee
before my next meeting.
So we really see bringing these pithy answers directly to your watch face as an evolution
of what watches have always done for us.
But these products now embed not just screens and time keeping but also sensors.
And probably what gets me most excited working with wearables, if we could switch back to
the slides, is their potential to help all of us lead healthier and more active lives.
So all of these Android Wear watches embed the kind of features that you would expect
from a fitness tracker.
You can set goals.
You'll get notifications that help you stay motivated to maybe work out a bit more through
the day if you haven't been so active.
And they can also help you track workout sessions actively.
So if you were doing the spinning with Bradley Wiggins, you'd be able to see just how hard
you were working right on your wrist using some of the sensors.
But with a screen and the ability to apply machine learning to the data coming from those
sensors, we're actually able to provide experiences that go beyond just helping you track what
you're doing and actually show you how to work out.
So what you're seeing in this video that's about to start playing behind me is a feature
we built called Push-Up Challenges.
And if you have never done a push-up before, we can use that big screen to teach you how
to actually go about doing the exercise, how to keep the correct form.
And then when you actually start doing those press-ups -- which, I'm sorry, I'm not going
to do right now -- we can actually analyze the sensor data to see exactly how many you
have done to help keep you using the correct form so that you're safe and having the most
effective exercise.
Now, that's just one example of how we use some of the sensors in these devices, but
almost all smart watches these days are starting to include a heart-rate sensor.
And if we switch back to the demo here, I'd love to show you something I'm pretty excited
about that we can do with this in the future.
So this is the typical trace that you would see from -- from the heart-rate sensor on
the back of this watch.
And this is a trace that I'm showing you that's come just from a piece of consumer hardware.
In fact, it's the watch that I'm wearing on my wrist right now.
And what these little peaks and troughs correspond to is the blood flow that's measured in my
wrist by shining a light in and seeing how much light comes back.
And most products today take those peaks and say look at how many of them there have been
in a minute and give you your heart rate and beats per minute.
And of course that's very interesting.
But if we take a closer look, there's actually a ton more information right here.
So if I draw a line straight through all these peaks, that actually corresponds to respiration,
how often I'm breathing.
And of course that can tell you a lot about how -- how well or unwell I might be.
If we look at the difference between the time between these peaks, that gives you a measure
of how variable my heart rate is.
Heart rate variability, which is a leading sign of health in general.
And finally this little notch that you can see here is called the dicrotic notch and
the time between the peak and that dicrotic notch shows you how fast the blood is moving
through my veins, and that is something that can be directly correlated with heart -- with
blood pressure.
So let's take a look at this.
We have, with this -- this is a Huawei watch, and this is a little demo that my team have
built.
What you're seeing at the top is the signal coming from that blood flow in my wrist.
You can see it's detecting where there are peaks and troughs.
And what's actually happening here is it's also compensating for movement.
And eventually, when it gathers enough data, it will actually tell you not only what my
heart rate is, which is 100 beats per minute.
I guess I'm a little bit stressed right now.
[ Laughter ] But also how variable it is.
And, in fact, that's not great.
And at the top -- [ Laughter ]
I was a lot more relaxed in rehearsals.
[ Laughter ] And at the top you're also seeing the results
of a machine learning model that is looking for -- and we can go back to the slides -- is
looking for and detecting arrhythmia in my heartbeat.
So it's amazing what we can do combining machine learning with actual consumer commodity hardware.
And we're partnering closely both inside Google with the Verily team -- we have a booth just
outside and you can go and see more demos there later -- and also with institutions
around the world, within the NHS and Manchester in London, to be able to actually detect upcoming
health conditions using these watches.
And when we can catch conditions early, they can be treated much more effectively.
When we can give people that kind of coaching as they live their lives to help them stay
with a course of prescribed exercise or medication or whatever, it makes their treatment much
more effective and much more cost effective, and so I think there's tremendous potential
here for the future and we're very excited to be working on it partnership with all of
those folks I talked about at the beginning.
Thank you.