Projects
raspberrypi.org/magpi The Official Raspberry Pi Projects Book 55
TELE2
Above The kit recorded everything a
person saw and heard while measuring
their mood levels
>STEP-01
Build a backpack
The Raspberry Pi, e-Health shield, video adapter,
wireless modem, and battery pack were carried
by the wearers in a custom-built backpack.>STEP-02
Sight and sound
The GoPro Hero 5 was mounted on the wearer’s head,
along with the various health sensors. Everything they
looked at and heard was streamed live.>STEP-03
World in colour
A filter was laid over the recorded video based on four
mood characteristics: Angry, Happy, Sad, and Calm.
This filtered video was streamed live to the web.WEARABLE
“In Sweden, a lot of discussion
around connectivity tends to be
negative,” says Alvin, “especially
when it comes to controlling our
exposure to media.”
Alvin wanted to alter the outlook
people had on other lives. “Each
person was chosen because they
have a big following online, or
they have an interesting life,”
explains Alvin. They included
Simone Giertz, a robot maker from
Stockholm, Joel Kinnaman, an
actor from Vancouver (and star
of the RoboCop reboot), and Noor
Daoud, a female drift racer from
Dubai. An impressive collection
of folk.
Each of the personalities was
hooked up to the Tele2 equipment.
The team broadcasted nine live
streams in five countries during
a two-month world tour. “We
measured the personalities’
heart rate, emotions, and sweat
level,” using a Skin Response
Sensor and Muse headband
(choosemuse.com). Then, using
WebGL and web audio technology,
they translated the data live into
audiovisual effects.
The team built a custom
backpack using a 3D printer
for each personality. The rig
included a Raspberry Pi hooked
up to an e-Health v2.0 board
(magpi.cc/2qnMyry). The
Raspberry Pi collected and
processed all the video, audio, and
sensor data.
Camera footage went to a colour
grading box in the backpack. This
was “fine-tuned for each location”,
and the video and audio was
streamed live via a Teradek VidiU
wireless HDMI video encoder.
The built-in wireless features of
the Raspberry Pi 3 made it a goodfit for the project. “The built-
in Bluetooth chipset, wireless
networking, and the fact that you
can use a pretty standard flavour
of Linux right out of the box
made it very easy to work with,”
says Alvin.
“Since all the other equipment
was rather bulky, size wasn’t
an issue either,” he adds. “The
toughest challenge was trying to
figure out if we could get the Muse
headband to communicate directly
with the Raspberry Pi, since the
official Muse SDK wasn’t released
for the ARM architecture.”
The project was a huge success,
with hundreds of thousands of
people tuning in to see what it’s
like to be somebody else. Viewers
could click on cheers and give
feedback to the wearers. Overall,
Tele2 was a very interesting
combination of health sensors
and live video streaming.They were launching a new 100GB
data plan and wanted a project
that required high data bandwidth