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IntelliPi is a general-purpose EEG-BMI system suited both for hackers and companies interested in implementing a human-computer interfaces taking advantage of biometric signals such as EEG. With this system, no need to worry about signal analysis, you define a paradigm, train with the device and you are ready to go. You don't know which paradigm to use, no problem, it comes with a comprehensive protocol and pre-loaded settings that can get any neophyte started in the nick of time.

System's features include:

• Automated feature selection
• Support for EEG, EMJ and any other biometric signals (up to 16 channels)
• Online learning, through a Bayesian Learning Loop
• Based on the Raspberry Pi platform
• Can be battery operated
• LCD display for continuous system's status access
• Multi-class identification
• This system is compatible with both OpenBCI and Interaxon's Muse.
• Support for LowPower's ATX-RASPI board.
• Number of data processing libraries & machine learning

Core doc' - What you REALLY need to know:

• Complete guide to getting started with the IntelliPi
• How is the IntelliPi organized/architected?
• Example - Making your first application
• What happens when I find a bug or issue?
• How do I contribute or add new features/functionality?

Misc doc' - Important reads:

• GIT basics - really simple overview
• Feeds - What or How do I use them?
• Creating a patch - useful for vanilla code or bugs