## MindWave and Arduino ##

MindWave and Arduino: Tutorial Version 1
More advanced, more "hacking"

{{:mindwave_arduino_leds.pdf|}}



Also useful are these third party examples that could be useful for you:

[[https://github.com/akloster/python-mindwave|Python & NeuroSky headsets]]

[[https://github.com/guanix/processing-neurosky|Processing & NeuroSky headsets]]



====== The Solution ======

The solution developed by Puzzlebox consisted of six computer systems, linked over a local wireless network, with four laptops reading data from NeuroSky MindWave EEG headsets and providing a personalized graphical user interface for each user, one system displaying a master control panel to monitor the overall system and provide an emergency manual override, and the sixth acting as a central control server. The control server receives movement commands from each of the client systems and translates those requests into digital signal states on an Arduino prototyping board. 


====== Display Interface ======
  * Concentration is measured and displayed in real­time 
  * An interface is personalized and presented to each user, with a variable control threshold matched to their individual skill level and task
  * When concentration levels reaches that threshold, the progress bar changes color from red to green and the command for the currently­selected activity is send to the crane through the control server
  * Blink detection is performed to permit hands­free swapping between activities 
  * By selecting the “Stop” command a user can ensure their concentration levels will not accidentally move the crane 
  * A connection meter indicates device contact quality and signal strength


====== Control Panel ======

  * Communications to the Arduino hardware can be perform directly, bypassing the control server
  * Measurements of user concentration, relaxation, and device contact and signal strength are charted in real­time
  * A power meter displays when the user's control threshold is reached 
  * Raw EEG signals are graphed and displayed on screen ● An EEG source selection option can be directed to a local or remote ThinkGear Connect capable socket server, such as Puzzlebox Synapse 

Please refer to code examples linked above to duplicate this project.