Launched back in the middle of December last year on the Kickstarter crowdfunding website, OpenBCI is a customisable and affordable EEG platform that gives developers access to high-quality brain wave data to create next generation applications and software.
Today with 13 days still remaining of their Kickstarter funding campaign Joel Murphy and Conor Russomanno creators of the OpenBCI Open Source brain-computer interface have passed their funding goal of $100,000 and will be able to go in production.
“OpenBCI is a versatile and affordable 8-channel EEG signal capture platform built around Texas Instrument’s ADS1299 Analog Front End IC. We designed it to give you access to high-quality, raw EEG data with minimal power consumption. OpenBCI is compatible with any type of electrode (active or passive) and can interface nearly all modern electronics prototyping platforms such as Arduino. OpenBCI is supported by an ever-growing, open-source software framework of signal processing and data analysis algorithms. With this fully customizable EEG data capture system, the data is yours. Join the OpenBCI community and let’s see what we can discover together!”
Today, the leading brain-computer interface companies distribute fixed devices with limited or closed access to the algorithms that translate raw EEG signals to meaningful data. These devices are powerful and effective for application development but not ideal for R&D requiring adjustable hardware setups and direct control over the signal processing techniques. OpenBCI is fully accessible and powered by an open-source community of hardware and software builders, making it easy for creators of any skill level and ideal for researchers who haven’t yet settled on the perfect system design. The OpenBCI platform is intended to serve as a malleable starting point in the rapidly growing field of brain-computer interfacing.”