Blino

Blino currently make Pi-Naps, an accessible way to interface with EEG via the Raspberry Pi. We are looking to put the power of your biometric data in your hands

[Blino @Blino_Tech]

If you are working with Pi-Naps, it's worth knowing about the different modes available:
https://t.co/p1WPlWnSNq

[Blino @Blino_Tech]

Another project concept - the meditation tree.

[Blino @Blino_Tech]

Learn more about what Pi-Naps can do.

A single channel EEG acquisition board for the #raspberryPi

https://t.co/I2dcmgV2JG

[Blino @Blino_Tech]

Never underestimate how useful a RGB can be for debugging #blinky

#BrainComputerInterface #BCI #EEG #neurotechnology #Brain #Tech

[Blino @Blino_Tech]

Our code examples include simple loggers and plotters for EEG data in #python

https://t.co/R4jya9QFK1

#BrainComputerInterface #BCI #EEG #Accessible #neurotechnology #Brain #tech

[Blino @Blino_Tech]

We're very much looking forward to sharing all the details of how we built one of our favourite projects so far.

Mind Controlled #Synth

NB. We didn't actually *make* the synth itself...

[Blino @Blino_Tech]

A little look back on the Tesseract Project.

https://t.co/7sIwHUYSp0

[Blino @Blino_Tech]

Don't forget if you are working with Teensy3.2 and our Tee-Naps board you will need to cut trace between the VIN/VUSB. Don't worry though - It's very simple and common practise for Teensy

https://t.co/OJnPVtFzWR

[Blino @Blino_Tech]

Interested in logging EEG data?

Here's how simple it could be:
https://t.co/cooPuLmwHZ

#python #raspberrypi

[Blino @Blino_Tech]

A throwback to the installation we worked on at Boomtown:

https://t.co/O4H21U6QZC

[Blino @Blino_Tech]

We've come to take these plug and play electrodes for granted somewhat... They are ideal for portable, on head applications.

https://t.co/uTDbSLKYIQ

[Blino @Blino_Tech]

Our latest update has resulted in a substantial performance gain. Now, the readEEGSensor function returns a buffer that the Parser can handle.

For convenience, the parser can work on either a buffer or a single byte at a time.

#eeg #bci #technology

[Blino @Blino_Tech]

Our update is out! We will be updating https://t.co/EmaOkOzjNI to reflect it this week.

Raspberry Pi zero can now operate at full rate in UART mode thanks optimisation tweaks.
Check out our examples to see more: https://t.co/R4jya9QFK1

[Blino @Blino_Tech]

We're currently making some changes to the Pi-naps Python library; sharing some core code between that and Tee-naps and making some significant performance updates.
This will mean our tutorial pages will go temporarily out of date, though we'll get straight to fixing that!

[Blino @Blino_Tech]

Brain computer interfaces for the maker community:

https://t.co/iT1mPCoI36

[Blino @Blino_Tech]

Know someone with an brain computer interface project in mind?
Share and let us know and we can arrange a refferal discount!

Check out this overview of our Raspberry Pi shield for some details:
https://t.co/I2dcmgV2JG

#maker #rasberrypi #BCI

[Blino @Blino_Tech]

Wonder what data you can get from our current devices?

Check out our Documentation pages:
https://t.co/MdlRNk8938

For example: Raw EEG is represented by 16bit signed integer values. They are output 512 times per second (approx. every 2ms).

[Blino @Blino_Tech]

One of our mobile Pi-Naps kits, developing brain computer interfaces of the go

#BCI #EEG #RaspberryPi

[Blino @Blino_Tech]

Due to interference with some of the higher connectors, when using some of the bigger RaspberryPi units, it will be neccessary to extend the headers.
The through hole header on Pi-Naps_v0.2 was chosen to allow for versatile, compact designs for Pi Zero.

#EEG #BCI #RaspberryPi

[Blino @Blino_Tech]

We are keen to see sharing of case designs and would love to see some being made avaliable with liberal licenses.

There's a discount for anyone sharing there designs for sure!

#EEG #BCI #Opensource