Hello Everyone, I hope your doing well. During this quarantine I became interested in machine learning how this can be used for signal processing. Today I would like to share with you a tutorial on how to classify emg signals in a raspberry pi using tensorflow/tensorflow lite In case you are wondering, an EMG signal stands for electromyography signal which measures electrical currents generated by muscles. They are usually to detect abnormalities in medicine but today we will use them to detect gestures. Requirements: Myo-wristband or EMG sensors raspberry pi 4 with Raspberry Pi OS laptop with Ubuntu 18.04 tensorflow 2.2 tensorflow lite interpreter Python3.6.9 Setting up: On your laptop with Ubuntu 18.04: Let’s start by bringing up the terminal and make a new directory that will contain the whole project. To avoid breaking system tools or others projects,install and create a virtual environment that will contain all python packages for this project $sudo apt-get install python3-venv $p...