A programmable brain computer interface, which uses a electroencephalography and machine learning to complete tasks such as hand movement recognition, directional thinking recognition, etc.
Eleggo.mp4
The project consists of 3 main components:
- Machine learning algorithms, such as hand movement detection and directional thinking detection, which process EEG data for classification (located in "eleggo-ml")
- Server & User client, which provides an easy to program way for setting the se (located in "eleggo-server")
- BCI processing board, which is using the OpenBCI Cyton board as a base and modifying it so that it only uses non-deprecated elements (located in"eleggo-hardware")
For each of the components' repositories there is a corresponding README.md with instructions on how to get started.
Angel Penchev
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Bogdan Mironov
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Madlen Sarkisian
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Miroslav Mirchev
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Simeon Georgiev
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- Fork it (https://github.com/fanton-dev/eleggo/fork)
- Create your feature branch (
git checkout -b feature/fooBar) - Commit your changes (
git commit -a) - Push to the branch (
git push origin feature/fooBar) - Create a new Pull Request
- Upon review it will be merged.
Distributed under the BSD-3 Cause license. See LICENSE for more information.