TI_GTE
EEGwithRaspberryPI
Our great sponsors
| TI_GTE | EEGwithRaspberryPI | |
|---|---|---|
| 5 | 44 | |
| 4 | 392 | |
| - | - | |
| 0.0 | 9.3 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TI_GTE
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How to put notes in here?
Which program are you using? If you do not have one yet, feel free to use mine at https://github.com/flancast90/TI_GTE (work in progress). Also, you must have a Python-edition calc to do so.
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Just a Basic Text Editor... For Your Python Calc!
The code is at https://github.com/flancast90/ti_gte if any of you are interested. Not sure how many of you have TI Python calcs, but if you do, I'd love to get some feedback on it.
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TI_GTE v2.0 is here! New Features!
The new version (v2.0) is available at github via this link: https://github.com/flancast90/TI_GTE
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Notes program is not working for my ti 84 plus ce python edition
I wrote one recently that I advertised here. https://github.com/flancast90/TI_GTE if you are interested. Works in Python, and I will be updating soon. Please note the functionality is really limited at this point.
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I made a Text Editor for the TI Python Calcs!
The code and install info can be found at https://github.com/flancast90/TI_GTE , if any of you are interested in using/modifying it.
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?
ci_edit - A terminal text editor with mouse support and ctrl+Q to quit.
tio - A serial device I/O tool
neovim - Vim-fork focused on extensibility and usability
ironbci - Open-Source Brain-Computer Interface, ADS1299 and STM32
EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface
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 (In progress)
3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals
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.
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