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arXiv:2201.02228cs.HC

PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals

Ildar Rakhmatulin, Sebastian Volkl

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

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.

arXiv comments
Journal reference
DOI
Subjects
cs.HCHuman-Computer Interaction cs.RORobotics

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Jan 2022 to Jan 2022. Found in 1 HN submission from Jan 2022 to Jan 2022. Open submission discussions.

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Discussed in comments1 thread

  1. I Choose ArXiv. Raspberry Pi into Brain-Computer-Interface to Measure Biosignals 1 comment

    • Instead of a peer-reviewed journal this time I chose Arxiv. I believe that the quality of the paper is close to the peer-reviewed journals. But this time I wanted to share results in open access! please provide any feedback here o directly to my email - ildar.o2010@yandex.ru…

      ildaron_ronView on HNParent context

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