/tmp/bci (neurohack)

(Wiki in progress)
Project involving hardware and software in 3 different major fields : Science / Computer Interface / Art

The current allinone homebrewed software is made in Rebol and called "Jackson". A specific version "Jackson LIVE" is a sequencer style live tool available from 1 to zillion brains, for art performance, cooperative "construction" (graphics, sound, command,...). The Rebol option was chosen for dead simple portability and to interface seamlessly local and Internet connexions.

Currently supported hardware is the Mindset.

What's new ?

Preferences manager : paradigms and network configuration (OSC/jLIVE)

HARDWARE

Commercial ready-to-use BCI-kits

NeuroSky Mindset

Single EEG dry sensor headset with audio
Ability to sample at 512Hz and access the raw signal or FFT transform (waves: alpha, beta, delta, ...)
BSD license Python SDK that works under linux with serial access mapped to the bluetooth device: https://github.com/groner/pythinkgear
Software for OSX and windows also available by headset manufacturer : Neurosky

Emotiv

TODO: describe me!

DIY BCI headset

Designing new acquisition devices (efficient, easy to wear, affordable) : Near Infra Red, EEG, Magnetometers, MRI compatible,...
Designing signal analyzing electronic boards : FFT, FPGA, statistical analysis using machine learning algorithms...
For already designed EEG headset : OpenEEG open source hardware kits and instructions: http://openeeg.sourceforge.net/doc/hw/
...

Real brainwaves centered current affordable commercial offers are either too simple (Mindset : ONE dry sensor) or required complex setup (Emotiv: several WET sensors).

BRAIN COMPUTER INTERFACE APPLICATIONS

Computer, robots,... command.
Help disable people.
BYOU : Bring Your Own Use : the geekier, the better !

Goals : a reliable ON/OFF "button" and a scale model (1...10) by cognitive task and interfacing with real world (TCP connexion,...).

SCIENCE

Neurosciences : dedicated software for brain functionnal imaging : MRI, near IR, EEG with machine learning
Large sets of brain generated data available in CSV file format. (40 hours)
For more information on machine learning see the subproject page: /tmp/bci/machine-learning

Current steps are : designing experimental tests and results statistic analysis to stronger assess hardware reliability.

ART

Digital arts: music / video live rendering of the brain activity
DialogueS, EEG project
Mind controlled...

For more about Jackson : /tmp/bci/jackson.
For more references : see the /tmp/bci/starterkit.
The repository for tmpbci software is tmpbci on github
If you want to join us or for welcomed comments, ideas : tmpbci at gmail dot com or on the web (fr)

Brain Computer Interface

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