Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
I. Rakhmatulin. (2022)https://github.com/Ildaron/EEGwithRaspberryPI.
Аннотация
This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals. We have described the mechanism for reading EEG signals and decomposing them into a Fourier series and provided examples of controlling LEDs and a toy robot by blinking. Finally, we discussed the prospects of the brain-computer interface for the near future and considered various methods for controlling external mechanical objects using real-time EEG signals.
%0 Journal Article
%1 noauthororeditor
%A Rakhmatulin, Ildar
%D 2022
%K BCI
%T Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
%X This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals. We have described the mechanism for reading EEG signals and decomposing them into a Fourier series and provided examples of controlling LEDs and a toy robot by blinking. Finally, we discussed the prospects of the brain-computer interface for the near future and considered various methods for controlling external mechanical objects using real-time EEG signals.
@article{noauthororeditor,
abstract = {This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals. We have described the mechanism for reading EEG signals and decomposing them into a Fourier series and provided examples of controlling LEDs and a toy robot by blinking. Finally, we discussed the prospects of the brain-computer interface for the near future and considered various methods for controlling external mechanical objects using real-time EEG signals.},
added-at = {2022-02-07T02:45:42.000+0100},
author = {Rakhmatulin, Ildar},
biburl = {https://www.bibsonomy.org/bibtex/22d31cc4378068a9477668ede8a989ab1/ildar},
interhash = {64dd3249f9776061f36537ef0a885256},
intrahash = {2d31cc4378068a9477668ede8a989ab1},
keywords = {BCI},
note = {https://github.com/Ildaron/EEGwithRaspberryPI},
timestamp = {2022-02-07T02:45:42.000+0100},
title = {Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG},
year = 2022
}