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.
翻译:本文提供了一种廉价、高精度但同时又容易维护的 PIEEG 棋盘,将 RaspberryPI 转换成脑计算机界面。 屏蔽可以测量和处理八种实时 EEEG( 电子光谱学) 信号。 我们使用最受欢迎的编程语言C、 C++ 和 Python 阅读设备录制的信号。 读取 EEEG 信号的过程已经尽可能完整和清晰地表现出来。 这个设备可以很容易地用于机器学习爱好者, 以便利用思考的力量创建控制机器人和机械肢体的项目。 我们将张贴在 GitHub( https://github.com/Ildaron/EEGwowWithRasperryPI) 上的案例, 用于控制机器人机器、 无人驾驶飞行器, 并且更直接地运用思考的力量。