Armağan Amcalar PRO
Armagan is the founder of Coyotiv GmbH, and is currently on a mission to bring a scalable and nimble engineering culture to startups and enterprises. Armagan is a public speaker, a mentor and a lecturer.
Who am I?
Armagan Amcalar
Head of Software Engineering @ unu GmbH
Founder @ Lonca Works
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AUTHORED ON GITHUB
what is
the ultimate hack?
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The Summit 2013 - Picture by Dan Taylor / Heisenberg Media - www.heisenbergmedia.com
“I think we are about 8 to 10 years away from this being usable by people with no disability”
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Facebook VP of Engineering Regina Dugan F8 - Picture by Anthony Quintano
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A PRIMER: The world's first EEG recording
... in 1924, from experiments by Hans Berger
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How it looks now
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Actually...
Let me show you.
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How does this black magic work?
100 billion neurons
Chemical reactions of K & Na exchange produce potential difference > "action potential"
Up to 256 electrodes for non-invasive methods
Thousands of electrodes for invasive operations
... and we still don't know how it exactly works.
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P300 — oddball paradigm
First published by E. Donchin and L.A. Farwell in 1988
2.3 letters / min
Based on randomly flashing letters in a matrix
Rare positive, common negative flashes pique interest
Action potentials fire 300ms after stimulation
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Separate Black from red
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WHERE DO I START?
Available on GitHub: https://github.com/dashersw/wits
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BRAIN-MONITOR
Available on GitHub: https://github.com/dashersw/brain-monitor
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Open-source P300 speller
that still needs some help!
brain-bits
Available on GitHub: https://github.com/dashersw/brain-bits
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Tech stack
JavaScript all the way up
Native C add-ons for the headset
Node.js for processing
Electron as the wrapper
Vue.js for front-end
brain.js for neural networks
Custom BLDA in JS as another classifier
...and, MATLAB as the server for eig function.
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Formatting the data for Machine Learning
- Get raw electrode data
- Group by each second to get epochs
- Filter each epoc between 1-12Hz
- Winsorize data
- Zero-mean normalization
- Decimate by 8
- Apply machine learning
- Use brain.js for neural networks
- Use a custom algorithm for BLDA
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Conclusion
JavaScript is powerful enough to read and parse not only JSON APIs,
but also your brain’s API.
thank you!
Let's keep in touch!
Armagan Amcalar
It is already the future and JavaScript lets you type with your brain signals
By Armağan Amcalar
It is already the future and JavaScript lets you type with your brain signals
What is the ultimate hack of our lives? What is the one thing that we strive to learn the most about? What is the thing that will truly unlock our potential? This talk is a demonstration of an open-source Brain-Computer Interface that is completely developed with JavaScript, from the ground up, using neural networks and signal processing. Armagan hits the stage with a wireless EEG headset, shows how to read signals from the brain in JavaScript using native C++ Node.js modules over USB, and the implementation in Electron. We go into the detail of how this is possible with current JavaScript technologies, Node.js, Electron and Vue. A little bit of signal processing, a little bit of neural networks, and a demo of code and action follows. The beginners will be in awe when they see what they can do with JavaScript, the advanced users will learn a new field of application. The goal is to underline that JavaScript is not only for websites but is actually the coolest thing ever.
