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Now on BBC News,
it's time to Click. | 0:00:03 | 0:00:05 | |
This week, the latest disability
tech with object recognition, sign | 0:00:10 | 0:00:17 | |
to text translation and snow seat.
-- seat. -- the. -- seat. | 0:00:17 | 0:00:29 | |
Over the past few years, some of the
most fascinating technologies we've | 0:00:44 | 0:00:48 | |
featured on the show have been the
ones that help people with | 0:00:48 | 0:00:52 | |
disabilities. As the world's burst
bionic games proved, the | 0:00:52 | 0:00:57 | |
possibilities now emerging offer so
much potential, whether it be in | 0:00:57 | 0:01:02 | |
disability, sight or hearing, we've
seen how technology is tantalisingly | 0:01:02 | 0:01:07 | |
close but how long before it really
starts to impact people's lives for | 0:01:07 | 0:01:11 | |
real? This weekend sees the
international day of people with | 0:01:11 | 0:01:16 | |
disabilities and that's a great
chance for us to devote a whole | 0:01:16 | 0:01:20 | |
programme to the latest tech
developments in the area. We start | 0:01:20 | 0:01:25 | |
in Rochester in upstate New York,
which has the highest number of deaf | 0:01:25 | 0:01:29 | |
or hard of hearing people per capita
in the US. The unique combination of | 0:01:29 | 0:01:34 | |
this community and the technical
Institute in the area is really | 0:01:34 | 0:01:37 | |
starting to drive innovation. Paul
Carter went to investigate. | 0:01:37 | 0:01:45 | |
Rochester Institute of technology
and its constitute, natch, national | 0:01:45 | 0:01:49 | |
technical Institute for the deaf,
are now at the forefront of | 0:01:49 | 0:01:53 | |
developing and testing new
technologies that help deaf people | 0:01:53 | 0:01:55 | |
to communicate. One technology is
UNI, an innovation that helps to | 0:01:55 | 0:02:00 | |
live translate signed language into
text and speech. Alex Davies demo | 0:02:00 | 0:02:05 | |
the prototype... At Inglis | 0:02:05 | 0:02:07 | |
I do the signed for check. I want to
check my flight. Your flight is on | 0:02:16 | 0:02:24 | |
time. As you noticed it came up on
the screen as I said that. The | 0:02:24 | 0:02:28 | |
system works by using sensors with
two cameras that detect individual | 0:02:28 | 0:02:32 | |
points on the joints and fingers and
renders them into the software to | 0:02:32 | 0:02:36 | |
interpret the individual signs, a
task more, located than it might | 0:02:36 | 0:02:40 | |
first sound. Some signs are
naturally doing it over and over | 0:02:40 | 0:02:43 | |
again, bag or wear. This bag is a
carry on. That's part of the | 0:02:43 | 0:02:51 | |
challenge and the complexity of our
applications because we have to be | 0:02:51 | 0:02:55 | |
able to filter all of that out, so
how does the software know you're | 0:02:55 | 0:02:59 | |
not signing bag, bag, bag, just bag.
It's safe to say assistive | 0:02:59 | 0:03:04 | |
technology for deaf people has come
a long way in a relatively short | 0:03:04 | 0:03:08 | |
space of time. Here at the Rochester
School of the death, this museum and | 0:03:08 | 0:03:14 | |
the items within it really highlight
the rate of change of technology | 0:03:14 | 0:03:19 | |
that aids communication for deaf and
hard of hearing people, from things | 0:03:19 | 0:03:22 | |
that look fairly primitive to us
now, from ear trumpets to speaking | 0:03:22 | 0:03:27 | |
tubes, to the cutting edge
technology, such as live translation | 0:03:27 | 0:03:30 | |
we're seeing today. The advancement
of technology represents an | 0:03:30 | 0:03:35 | |
opportunity for the advancement of
deaf people in the workplace. RIT | 0:03:35 | 0:03:38 | |
and in t.i.d. Started experiment in
with speech recognition in the | 0:03:38 | 0:03:43 | |
classroom so deaf and hard of
hearing students who may not know | 0:03:43 | 0:03:47 | |
sign language can participate fully.
This lecture's sign language is | 0:03:47 | 0:03:53 | |
being interpreted by a translator.
It is then displayed on the board in | 0:03:53 | 0:03:58 | |
real time. It will probably help me
a lot. When the teacher is signing, | 0:03:58 | 0:04:03 | |
I have an interpreter voicing form
E, if I miss something while taking | 0:04:03 | 0:04:07 | |
notes I can look at the screen and
see what the teacher said. -- for | 0:04:07 | 0:04:13 | |
me. One of the best things I've
found on the laptop, when you can | 0:04:13 | 0:04:17 | |
project it to your screen, you can
see the closed captioning on your | 0:04:17 | 0:04:22 | |
laptop. It allows you to save
transcripts so you can use for | 0:04:22 | 0:04:26 | |
future reference. Here at RIT we
provide 25,000 hours of captioning | 0:04:26 | 0:04:34 | |
every year for our deaf and hard of
hearing students who are in classes | 0:04:34 | 0:04:40 | |
primarily with hearing professor who
is speaking their lecture. We | 0:04:40 | 0:04:45 | |
thought one way we can cover those
uncovered ours is to use automatic | 0:04:45 | 0:04:50 | |
speech recognition. Captioning has
been improved a lot in the past few | 0:04:50 | 0:04:56 | |
months -- uncovered hours. It has
improved last year when the error | 0:04:56 | 0:05:01 | |
rate was so high. But now ASR has
improved to the point where we feel | 0:05:01 | 0:05:10 | |
very confident to pilot the
programme to see how well it works. | 0:05:10 | 0:05:14 | |
And we can also make improvements
with the language model. One of the | 0:05:14 | 0:05:19 | |
main challenges of speech
recognition has been finding a way | 0:05:19 | 0:05:22 | |
for deaf and hearing people to
communicate in situations where | 0:05:22 | 0:05:26 | |
there isn't an interpreter around.
These students are using a special | 0:05:26 | 0:05:30 | |
Instant Messenger app developed at
the university. We all know how | 0:05:30 | 0:05:34 | |
inaccurate speech recognition can
be. -- special speech recognition | 0:05:34 | 0:05:41 | |
app. I think automatic speech
recognition is just getting started | 0:05:41 | 0:05:48 | |
really and it's going to be
improving. I think it opens up a | 0:05:48 | 0:05:52 | |
whole new avenue that hasn't been
possible before. We want to become | 0:05:52 | 0:05:59 | |
the hub for really experimenting and
looking for solutions to reduce the | 0:05:59 | 0:06:03 | |
communication barriers that separate
deaf and hearing people. | 0:06:03 | 0:06:09 | |
That was Paul Carter. Now, in the
UK, around 5% of all rail journeys | 0:06:09 | 0:06:15 | |
are made by those with a disability
or a long-term illness. That equates | 0:06:15 | 0:06:20 | |
to around 85 million rail journeys
every year. Now, while not all | 0:06:20 | 0:06:26 | |
disabled people require assistance,
a quarter have reported problems | 0:06:26 | 0:06:30 | |
with using public transport. The
rail company London Midland is | 0:06:30 | 0:06:34 | |
hoping to improve accessibility for
its De Zeeuw all passengers with a | 0:06:34 | 0:06:38 | |
new app, Passenger Persist, and we
asked Emily Yates to try it out for | 0:06:38 | 0:06:43 | |
us.
I'm Emily Yates and I'm just | 0:06:43 | 0:06:50 | |
planning my train journey to
Birmingham. It requires a fair bit | 0:06:50 | 0:06:55 | |
of advanced booking. I'm confident
travelling by myself but I'm not a | 0:06:55 | 0:06:58 | |
huge fan of the train, which is
actually why I'm making this | 0:06:58 | 0:07:02 | |
journey. I've heard about an at in
development called Passenger Assist | 0:07:02 | 0:07:08 | |
which could be a game changer for
disabled travellers. I think anybody | 0:07:08 | 0:07:18 | |
watching this who's disabled will
probably agree with me that you can | 0:07:18 | 0:07:22 | |
have some pretty horrific travel
journeys if you're disabled. I've | 0:07:22 | 0:07:25 | |
been left on the train before, but
persistence and somebody has said, | 0:07:25 | 0:07:30 | |
yeah, we're going to come and meet
you and I've been left on the train | 0:07:30 | 0:07:34 | |
unable to get off and I've had to go
four or five stops down the line to | 0:07:34 | 0:07:38 | |
be able to come back again so I'm
relieved as did to see what this app | 0:07:38 | 0:07:43 | |
has to offer. -- really excited.
I've got this new app which is | 0:07:43 | 0:07:56 | |
currently in development and I'm
just about to fill in my own | 0:07:56 | 0:07:59 | |
profile. What's brilliant about this
app is it says do you need room for | 0:07:59 | 0:08:03 | |
a guide dog, do you have a hearing
impairment, do you need a ramp, do | 0:08:03 | 0:08:07 | |
you need help buying a ticket? So,
Roxanne, I've added my profile | 0:08:07 | 0:08:13 | |
details and now I've just planned a
journey. This is obviously in | 0:08:13 | 0:08:16 | |
development but this is how it would
work. I've put in my journey and now | 0:08:16 | 0:08:20 | |
it should come up on your phone any
minute. Here you are... You've got | 0:08:20 | 0:08:25 | |
my picture and everything so you
know exactly what I'll look like. I | 0:08:25 | 0:08:29 | |
know what you look like, know what
to expect, I press I'm here to help. | 0:08:29 | 0:08:34 | |
Brilliant. I can send you a message
saying I'm here, my name is Roxanne. | 0:08:34 | 0:08:41 | |
Back on the train for me and now I
have this. Passenger Assist is being | 0:08:41 | 0:08:46 | |
developed by start-up Transreport
under the guidance of London | 0:08:46 | 0:08:53 | |
Midlands' lab. Right now the phone
is tracking both the staff member | 0:08:53 | 0:09:03 | |
and the passenger. We're obviously
in the same place so you can see the | 0:09:03 | 0:09:07 | |
two dots are quite close together.
Using the technology such as | 0:09:07 | 0:09:11 | |
beacons, Wi-Fi, four G, GPS, we can
use multiple tools. You know exactly | 0:09:11 | 0:09:17 | |
what carriage I'm in even. Yes, down
to the carriage, we can pinpoint | 0:09:17 | 0:09:21 | |
less than one metre to your location
and find out which carriage, which | 0:09:21 | 0:09:25 | |
train and the direction of travel
you're going in as well. That's all | 0:09:25 | 0:09:34 | |
well and good for staff stations but
how would it work on unmanned | 0:09:34 | 0:09:39 | |
stations? The app is still in
development, it's making good | 0:09:39 | 0:09:42 | |
progress but we do have a challenge
with unmanned stations. What we | 0:09:42 | 0:09:46 | |
would want to do is get you to the
Nehra is accessible station to get | 0:09:46 | 0:09:50 | |
you on your way. And it's not just
about the app. Transreport is also | 0:09:50 | 0:09:55 | |
making trackable wristbands and
these key faults, they'll be | 0:09:55 | 0:09:58 | |
available for those unable to use
phones as easily. Let's face it, in | 0:09:58 | 0:10:02 | |
a world where we can now track our
pizza by the minute am having to | 0:10:02 | 0:10:07 | |
book train assistance 24 hours in
advance seems a little old school | 0:10:07 | 0:10:11 | |
and this way staff will have
information at their fingertips too. | 0:10:11 | 0:10:17 | |
Transreport hope to roll out the app
across the London Midland service | 0:10:17 | 0:10:20 | |
early next year and the plan is for
the entire UK rail network to be | 0:10:20 | 0:10:25 | |
able to access it by June, 2018. If
there's one thing disabled | 0:10:25 | 0:10:31 | |
travellers need that the current
system doesn't provide its the | 0:10:31 | 0:10:34 | |
reassurance that someone will be
there to help and not leave them | 0:10:34 | 0:10:38 | |
stranded when getting home all of
the train. -- on all of the train. | 0:10:38 | 0:10:48 | |
Hello and welcome to the week in
tech. It was the week where the | 0:10:48 | 0:10:53 | |
world's largest lithium ion battery
was turned on in Australia. | 0:10:53 | 0:10:57 | |
Assembled by Tesla and designed to
store energy from a nearby wind | 0:10:57 | 0:11:01 | |
farm, it can power 30,000 homes for
one hour. An AI robot called Sophia | 0:11:01 | 0:11:08 | |
started crowd fending for more
brainpower. Instagram confirmed a | 0:11:08 | 0:11:14 | |
pregnant Beyonce picture was the
most liked 2017 so far and dogs were | 0:11:14 | 0:11:19 | |
the most liked face filter. Speaking
of selfies, Facebook's new security | 0:11:19 | 0:11:24 | |
system may be asking for one to
prove you're not a bot while logging | 0:11:24 | 0:11:28 | |
on and Uber made headlines again,
this time it was accused of using | 0:11:28 | 0:11:33 | |
ex- CIA agents to spy on rivals also
developing self driving tech. Plus | 0:11:33 | 0:11:38 | |
it was revealed their data breach
reported last week affected 57 | 0:11:38 | 0:11:43 | |
million users' details. Robots have
been flexing their muscles, lifting | 0:11:43 | 0:11:47 | |
1000 times their own weight. These
origami inspired bots from MIT mimic | 0:11:47 | 0:11:53 | |
real muscles, being built with soft
materials to make them a bit more | 0:11:53 | 0:11:58 | |
human friendly. Universities across
the world are working on these types | 0:11:58 | 0:12:03 | |
of highly dextrous robots. And
finally, good old-fashioned Lego is | 0:12:03 | 0:12:07 | |
getting its own augmented reality
app. The Lego AR studio will bring | 0:12:07 | 0:12:12 | |
to life some of the most popular
sets, so just as you thought the | 0:12:12 | 0:12:19 | |
kids were sitting happily not having
any screen time, well, out comes the | 0:12:19 | 0:12:22 | |
app. | 0:12:22 | 0:12:23 | |
I really began with my own reality.
Someone using a wheelchair to get | 0:12:34 | 0:12:39 | |
around and consistently frustrated
when I show up at bases and I don't | 0:12:39 | 0:12:43 | |
know which they are accessible or
not until I get there. Countless | 0:12:43 | 0:12:47 | |
times I show up and there are steps
or other barriers that prevent me | 0:12:47 | 0:12:51 | |
from doing the things that I want.
And so I was really motivated to try | 0:12:51 | 0:12:57 | |
and solve this problem and the way
that we've gone about doing that is | 0:12:57 | 0:13:01 | |
by creating a mobile app that can
simply allow people who experienced | 0:13:01 | 0:13:05 | |
express it -- accessibility needs to
share information about what is | 0:13:05 | 0:13:12 | |
accessible on their own communities
and around the world. It starts by | 0:13:12 | 0:13:17 | |
selecting a place and then breaking
a place as accessible or not | 0:13:17 | 0:13:20 | |
accessible. You can go one step
further and and a description, you | 0:13:20 | 0:13:25 | |
can say things like, I showed up at
this place, the customer service was | 0:13:25 | 0:13:29 | |
fantastic. So this cafe looks like
it's not accessible. There are two | 0:13:29 | 0:13:34 | |
steps at the entrance. But when I
look at app my, I can see there's an | 0:13:34 | 0:13:41 | |
alternative entrance through the
building here, that will let me into | 0:13:41 | 0:13:44 | |
the cafe. Let's check it out. For me
the main magic, the most exciting | 0:13:44 | 0:13:51 | |
part about Access, is the
information is all crowd sourced | 0:13:51 | 0:13:57 | |
from people who have experienced
accessibility needs in there own | 0:13:57 | 0:14:00 | |
life, or are just motivated to get
wheelchair information. We started | 0:14:00 | 0:14:05 | |
in Toronto with a couple of 100 pins
and now we've reached over 20,000 | 0:14:05 | 0:14:10 | |
throughout the world. What we really
want to make this a global movement. | 0:14:10 | 0:14:14 | |
Before Access, I think people each
had their own internal maps in their | 0:14:14 | 0:14:20 | |
ahead of what places are accessible,
what works for them in their own | 0:14:20 | 0:14:25 | |
communities. But the second you step
outside of your comfort zone of | 0:14:25 | 0:14:28 | |
where you live in your
neighbourhood, accessibility can | 0:14:28 | 0:14:31 | |
become challenging. There are many
times when people who have mobility | 0:14:31 | 0:14:37 | |
needs are isolated in many ways and
it simply because, you know, from | 0:14:37 | 0:14:42 | |
the way I see it it's not people who
are disabled but it's our | 0:14:42 | 0:14:48 | |
environment that are disabling. So
if we can remove the barriers that | 0:14:48 | 0:14:51 | |
restrict people from engaging with
their communities, with their | 0:14:51 | 0:14:56 | |
workplaces, with their lifestyles, I
think we can come to a much more | 0:14:56 | 0:15:00 | |
inclusive world for everyone. That
was from Toronto. Now, running a | 0:15:00 | 0:15:09 | |
marathon, fancy it? No, me neither.
But for Simon is a regular | 0:15:09 | 0:15:16 | |
occurrence. We first met him a
couple of years ago when he just ran | 0:15:16 | 0:15:21 | |
and ultramarathon in Namibia. That's
150 miles. I should at this point | 0:15:21 | 0:15:28 | |
say that Simon is blind, so knowing
where to run is as much of a problem | 0:15:28 | 0:15:33 | |
as the running itself. In Namibia he
used audio from a smartphone to bite | 0:15:33 | 0:15:38 | |
him. Since then, as a programmer and
inventor, he's invented his own | 0:15:38 | 0:15:44 | |
track to guide him while he runs.
And the technology allowing | 0:15:44 | 0:15:49 | |
navigation and visualisation of the
world, with outside and in, is | 0:15:49 | 0:15:53 | |
hopefully about to become a bit
easier. We asked Simon to | 0:15:53 | 0:15:56 | |
investigate. My name is Simon and I
am a huge fan of technology. For the | 0:15:56 | 0:16:03 | |
past few years I've really been
using technology to push the | 0:16:03 | 0:16:07 | |
boundaries of possibility. Recently
I became the first blind person to | 0:16:07 | 0:16:11 | |
attempt a marathon solo. A few weeks
ago in New York I used technology to | 0:16:11 | 0:16:17 | |
run a needed for 15 miles, until
unfortunately the prototype didn't | 0:16:17 | 0:16:22 | |
quite make it. For a blind person,
mobility is always a key issue. Even | 0:16:22 | 0:16:29 | |
things around the house, it is as
simple as identifying different | 0:16:29 | 0:16:32 | |
products in the kitchen or even
identifying different articles of | 0:16:32 | 0:16:36 | |
clothing, being able to identify
objects is a constant problem. So | 0:16:36 | 0:16:42 | |
one of the interesting breakthroughs
has been a product from Microsoft | 0:16:42 | 0:16:47 | |
which is and app that runs on an
iPhone. Seeing Eye uses barcodes to | 0:16:47 | 0:16:55 | |
recognise objects. You point the
camera at the object. One of the | 0:16:55 | 0:17:00 | |
really powerful things that it can
do is simple text recognition. | 0:17:00 | 0:17:06 | |
Vitamin D, wholegrain, serial, rice,
sugar, salt flavouring... One thing | 0:17:06 | 0:17:13 | |
is really nice is you can recognise
people, so you can point your phone | 0:17:13 | 0:17:19 | |
at somebody. In case you didn't
catch that, that was Big Neil, seven | 0:17:19 | 0:17:27 | |
feet away. One of the main issues is
that AI algorithms usually identify | 0:17:27 | 0:17:34 | |
objects in groups. What I really
need is something to identify | 0:17:34 | 0:17:37 | |
objects in detail, so don't just say
a cup, identify it specifically and | 0:17:37 | 0:17:43 | |
that's exactly what I've been able
to work out. IBM are using their AI | 0:17:43 | 0:17:50 | |
platform Watson to distinguish
between similar objects. The | 0:17:50 | 0:17:52 | |
prototype Big -- prototype app will
be exciting if it works. First I had | 0:17:52 | 0:18:01 | |
to do the training to get to grips
with it. OK, when you are ready and | 0:18:01 | 0:18:06 | |
you have your table lined with some
objects, we can do some training. I | 0:18:06 | 0:18:14 | |
had to take at least ten good
pictures of an object against a | 0:18:14 | 0:18:17 | |
solid background. Now with the model
trains we are able to identify | 0:18:17 | 0:18:21 | |
similar objects? Flower market. In
the prototype stage I found the | 0:18:21 | 0:18:28 | |
prototype really tricky. -- mug. I
like that it was a voice guided so I | 0:18:28 | 0:18:33 | |
could do it independently. I've got
that connection with physical | 0:18:33 | 0:18:36 | |
objects again. Photos and mugs and
T-shirts. It got to the point where | 0:18:36 | 0:18:42 | |
there was no distinctly --
distinction between them. Now if I | 0:18:42 | 0:18:45 | |
train it and tag it I can get to
know that individualisation again. | 0:18:45 | 0:18:53 | |
It's great when you are doing things
in the kitchen. But with certain | 0:18:53 | 0:18:58 | |
objects which mean a loss to you
it's not the same. To be able to tag | 0:18:58 | 0:19:02 | |
them and find them it gives me that
memory. That is really giving me | 0:19:02 | 0:19:07 | |
something back that I lost many
years ago. It leaves me really | 0:19:07 | 0:19:12 | |
hopeful for the future. Simon...
That was Simon and from his running | 0:19:12 | 0:19:23 | |
guide to full on robotic limbs, we
are seeing more and more tech | 0:19:23 | 0:19:28 | |
advances that promise to help
disabled athletes to compete in | 0:19:28 | 0:19:31 | |
sports that were previously
inaccessible to them. Our reporter | 0:19:31 | 0:19:35 | |
had her legs amputated ten years ago
and she's been trying out some new | 0:19:35 | 0:19:41 | |
feet which could help amputees to
carve up the slopes this winter. | 0:19:41 | 0:19:46 | |
I've come to Dorset Orthopaedic a
private company fits amputees with | 0:19:46 | 0:19:52 | |
prosthetic legs, from running blades
to hyperrealistic limbs. One sport | 0:19:52 | 0:19:57 | |
that's always been very hard for me
is snowboarding, because my normal | 0:19:57 | 0:20:01 | |
feet designed specifically for
walking. But here, they've got feet | 0:20:01 | 0:20:05 | |
that would make that easier.
Requirements of the full-time | 0:20:05 | 0:20:09 | |
different with skiing compared to
walking. With normal walking you | 0:20:09 | 0:20:12 | |
need a foot that has a fairly small
range of movement that gives you | 0:20:12 | 0:20:16 | |
energy back, as you roll over the 40
get some push off at the end to help | 0:20:16 | 0:20:21 | |
your walking. With skiing you need
more movement in the foot to | 0:20:21 | 0:20:25 | |
compensate for the uneven surface.
You also need some shock absorption, | 0:20:25 | 0:20:30 | |
so when you go over a bump or you
land on the ski unique some that | 0:20:30 | 0:20:34 | |
shock taken out and that's what this
does. While I'm left to my own | 0:20:34 | 0:20:39 | |
devices, Kevin agrees to fit my legs
with some of these feet so I can | 0:20:39 | 0:20:43 | |
give them a go. This requires a lot
of honing and alignment to make sure | 0:20:43 | 0:20:47 | |
I am not pushed too far forwards or
backwards. Ta-da! My legs. I'm quite | 0:20:47 | 0:20:53 | |
intrigued as to how this will feel.
I have no idea. Oh, wow. If you push | 0:20:53 | 0:20:59 | |
a weight forwards you should be able
to feel the movement in the ankle. | 0:20:59 | 0:21:03 | |
Oh, wow. That sensation I've not
felt in the ten years since being an | 0:21:03 | 0:21:07 | |
amputee. These feet work by putting
your leg into an adjustable | 0:21:07 | 0:21:12 | |
cylinder, which controls the
resistance in the foot. More air and | 0:21:12 | 0:21:16 | |
more resistance, as well as giving
this movement, shock absorption in | 0:21:16 | 0:21:19 | |
the foot means going over rocks or
bumps is easier, they are not cheap. | 0:21:19 | 0:21:24 | |
With the price of £2500 each, it
means only some people can get | 0:21:24 | 0:21:28 | |
access to them. It is clear that
bear not for walking. They are very | 0:21:28 | 0:21:34 | |
rigid, very square and very hard.
But if I let my mind go and imagine | 0:21:34 | 0:21:39 | |
myself snowboarding, which I've done
badly in the past, I can feel that | 0:21:39 | 0:21:44 | |
and then move and that's weird,
because I have not felt my feet move | 0:21:44 | 0:21:50 | |
in that way before. -- for ten
years. There's only one thing left | 0:21:50 | 0:21:56 | |
to do and it is to try defeat out on
some proper snow. I've come to an | 0:21:56 | 0:22:01 | |
indoor slope, but I've got to admit
I'm feeling very nervous. This is | 0:22:01 | 0:22:05 | |
Emma Gillespie. She has agreed to
come with me to fit the feet and | 0:22:05 | 0:22:11 | |
help the try them out. You've done
it before. How was it? Hard. But you | 0:22:11 | 0:22:18 | |
did it. So? One leg. This is what
you don't see about being an | 0:22:18 | 0:22:26 | |
amputee. | 0:22:26 | 0:22:28 | |
When I've snowboarding previously on
my normal walking feet, it's been | 0:22:33 | 0:22:37 | |
really difficult. But these offer
much more and the way they are set | 0:22:37 | 0:22:41 | |
up office and natural bent on my
knees, stands that almost impossible | 0:22:41 | 0:22:45 | |
on neutral legs. Here we go. Think
about your posture of it. -- a bit. | 0:22:45 | 0:22:58 | |
And a turn! So it's been awhile
since I boarded and expecting an | 0:22:58 | 0:23:05 | |
instant result is probably asking a
too much, but the best thing for it | 0:23:05 | 0:23:10 | |
is to keep throwing myself down the
slope and see what happens. Despite | 0:23:10 | 0:23:14 | |
the technology of these feet, there
is only so much they can do when it | 0:23:14 | 0:23:18 | |
comes to hitting the slopes. The
real work is definitely still coming | 0:23:18 | 0:23:22 | |
from the person. And if you're not
very good, bear not going to stop | 0:23:22 | 0:23:26 | |
you from falling. -- they're. I'm
soaking wet, that fall has drenched | 0:23:26 | 0:23:36 | |
me. But it's amazing when you merge
technology and disability, to give | 0:23:36 | 0:23:42 | |
people independence and the feeling
that they can try things that they | 0:23:42 | 0:23:46 | |
perhaps thought weren't there for
them. It's fun. But they are | 0:23:46 | 0:23:51 | |
expensive.
That's it for this special programme | 0:23:51 | 0:24:00 | |
for the international day off People
with Disabilities. We will carry on | 0:24:00 | 0:24:06 | |
reporting on this stuff throughout
the year, but you can keep a special | 0:24:06 | 0:24:10 | |
eye on our disability stories
online. Thanks for watching and see | 0:24:10 | 0:24:15 | |
you soon. | 0:24:15 | 0:24:16 |