EEGwithRaspberryPI
EEG-with-JetsonNano
EEGwithRaspberryPI | EEG-with-JetsonNano | |
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44 | 5 | |
392 | 41 | |
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9.3 | 5.3 | |
almost 2 years ago | 12 days ago | |
Python | C | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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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.
EEG-with-JetsonNano
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Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report
Artificial intelligence has made significant advances in recent years and this has had an impact on the field of neuroscience. As a result, different architectures have been implemented to extract features from EEG signals in real time. However, the use of such architectures requires a lot of computing power. As a result, EEG devices typically act only as transmitters of EEG data, with the actual data processing taking place in a third-party device. That's expensive and not compact. In this paper, we present a shield that allows a single-board computer, the Jetson Nano from Nvidia, to be converted into a brain-computer interface and, most importantly, the Jetson Nano's capabilities allow machine learning tools to be used directly on the data collection device. Here we present the test results of the developed device. https://github.com/HackerBCI/EEG-with-JetsonNano
- With deep learning to neuroscience world with shield for jetson nano – JNEEG
- Open-Source board for converting Jetson nano to Brain-computer interface
What are some alternatives?
tio - A serial device I/O tool
JETGPIO - C library to manage the GPIO header of the Nvidia Jetson boards
ironbci - Open-Source Brain-Computer Interface, ADS1299 and STM32
NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
fooof - Parameterizing neural power spectra into periodic & aperiodic components.
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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/