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

TL;DR

This paper introduces PIEEG, an affordable and precise EEG measurement device built on Raspberry Pi, enabling real-time brain signal analysis for control applications like robotics and UAVs.

Contribution

The paper presents a novel, easy-to-assemble EEG interface for Raspberry Pi that supports real-time signal processing and is suitable for machine learning projects.

Findings

Supports real-time EEG signal measurement and processing

Demonstrates use cases for controlling robots and UAVs

Provides open-source resources for community development

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.