EEG-gaming-and-speech
EEGwithRaspberryPI
| EEG-gaming-and-speech | EEGwithRaspberryPI | |
|---|---|---|
| 2 | 44 | |
| 23 | 392 | |
| - | - | |
| 0.0 | 9.3 | |
| 3 months ago | almost 2 years ago | |
| Python | Python | |
| - | GNU General Public License v3.0 only |
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EEG-gaming-and-speech
- Built a cheap DIY Brain-Computer Interface for playing simple games and basic verbal communication
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Where should I start? Any tips?
I just finished a DIY python BCI project, this repo should have plenty of info for ya. https://github.com/yaxan/EEG-gaming-and-speech
EEGwithRaspberryPI
- PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to Measure Biosignals
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Raspberry Pi Shield – For Measure EEG (Pieeg)
source here - https://github.com/Ildaron/EEGwithRaspberryPI
paper available here https://www.researchgate.net/publication/357698587_PIEEG_Tur...
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Raspberry PI Shield - for measure EEG (PIEEG)
source here - https://github.com/Ildaron/EEGwithRaspberryPI
- hack you brain - Hack your Brain - DIY brain-computer interfaces have arrived
- Hack your Brain - DIY brain-computer interfaces have arrived
- DIY brain-computer interfaces have arrived – why that’s cool (and why it isn’t)
- Example – Single-board computers for control robotics with the power of thought
- Control robot by mind (blinking) via RaspberryPi and PiEEG
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[2201.02228] PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals
Code for https://arxiv.org/abs/2201.02228 found: https://github.com/Ildaron/EEGwithRaspberryPI
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PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals. arXiv:2201.02228
This paper presents an inexpensive, high-precision, but at the same time, easy-to-maintain PIEEG board to convert a RaspberryPI to a Brain-computer interface. This shield allows measuring and processing eight real-time EEG(Electroencephalography) signals. We used the most popular programming languages-C, C++ and Python to read the signals, recorded by the device. The process of reading EEG signals was demonstrated as completely and clearly as possible. This device can be easily used for machine learning enthusiasts to create projects for controlling robots and mechanical limbs using the power of thought. We will post use cases on GitHub (https://github.com/Ildaron/EEGwithRaspberryPI) for controlling a robotic machine, unmanned aerial vehicle, and more just using the power of thought.
What are some alternatives?
MI_Project
tio - A serial device I/O tool
ironbci - Open-Source Brain-Computer Interface, ADS1299 and STM32
fooof - Parameterizing neural power spectra into periodic & aperiodic components.
EEG-with-JetsonNano - Open-Source. With deep learning to neuroscience world with shield for jetson nano - JNEEG
freeswitch - FreeSWITCH is a Software Defined Telecom Stack enabling the digital transformation from proprietary telecom switches to a versatile software implementation that runs on any commodity hardware. From a Raspberry PI to a multi-core server, FreeSWITCH can unlock the telecommunications potential of any device.
3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals
muse-lsl - Python script to stream EEG data from the muse 2016 headset
VideoLAN Client (VLC) - VLC media player - All pull requests are ignored, please follow https://wiki.videolan.org/Sending_Patches_VLC/
EEG-BCI-signal-processing - Real-time EEG BCI signal processing by Python
cdogs-sdl - Classic overhead run-and-gun game
pico-mixer - Mix different sound ambiances with a Pimoroni Keypad and a Raspberry Pi Pico