We are very excited to announce that Brain Interface Lab has united with OpenBCI, a community that is launching a widespread, open-source initiative to interface the brain and body. OpenBCI was founded by NYC-based Artist/Engineer Joel Murphy and the founder of Brain Interface Lab himself, Conor Russomanno.
We would also like to announce want to announce an upcoming OpenBCI hackathon, hosted at Thoughtworks NYC. Due to limited resources at this point in time we are requesting that interested folks apply to participate.
Also, here is some information about the OpenBCI movement:
What Is OpenBCI?
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.
What Makes OpenBCI Different?
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. What can we build together?
All the best,
Brain Interface Lab