The Final Countdown!
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Hello Kickstarters!
We’re heading into our last day of the campaign, and thanks to you we have raised over $182,000 as of this update!
We want to use this update to send out a special thanks to our Research Partners. The Research Partner Backers will receive 5 OpenBCI boards or daisy-chain modules, an electrode cap identical to the one seen in our video, and an Electrode Starter Kit. These groups will also get beta access to our online portal for collaborative research and data sharing, as well as an exclusive invite to our research partner conference to be hosted in NYC in the late spring or early summer.
Thank You, Mensia Technologies! We are excited to have you as an Official OpenBCI Research Partner.
“As corporate partners of OpenViBE, the leading open source software for EEG processing for BCI and research, Mensia is very excited to witness the emergence of open source EEG hardware, putting BCI within the reach of non-specialist developers and enthusiasts thereby enabling the sharing of EEG data and applications on a scale never seen before. We are major believers in the power of open source. We are happy to be providing financial as well as technical support to this project. This includes making sure the OpenBCI design is fully compatible with OpenViBE so OpenBCI users know, from day one, that they have access to a full, free suite of software to use with their EEG hardware and upon which to develop applications. We know Joel and Conor and believe they have the right vision and background to make this design a win and usher in the mass deployment of EEG measurement for self-quantification.” -Mensia Tech
Thank You, Professor Virginia de Sa and the University of California San Diego’s Cognitive Science Department. We are very excited to announce this Research Partnership. UCSD s one of the top cognitive science, and computational neuroscience schools in the world, and we are very excited to have you working with our technology!
“The driving philosophy behind our work is that studying both machine learning and human learning is synergistic. We use insights from human learning and brain physiology to guide machine learning algorithms and ideas from computational algorithms to guide studies of human and animal learning and computation. We believe in studying a question, not a technique, and so apply (including through collaboration) a wide range of techniques to address the question of how we learn to perceive the world around us.” – de Sa Lab (UCSD)
Thank You, London Quantified Self Meetup Group!
We’ve been coordinating with James Hardiman, a member of London QS, to bring OpenBCI to the UK in full force! We are hoping to grow the research partnership into a full-blown hackathon and hop across the pond to do a weekend-long, hands-on OpenBCI event centered around DIY self-tracking!
Also in the news: LulzBot is donating a 3D printer to OpenBCI! The great folks at LulzBot are sponsoring the rapid R&D of our Spider Claw 3000 with a TAZ 3 3D printer and printing supplies! The LulzBot Taz 3 has one of the largest build volumes and the fastest print speed of any 3D printer on the market, and it can print a wide range of materials. We are psyched to crank out some awesome iterations on the Spider Claw 3000 using this beast of a machine. Thank you, LuzBot! We can’t wait to get it in the shop to show off its amazing capabilities! Super duper cool.
The Lulzbot Taz 3
Rock on!
The OpenBCI Team