Javier Rodríguez Lavandeira

Bachelor's Thesis: Implementation of a virtual keyboard based on motion detection with EMG sensors

This project focuses on developing a virtual keyboard based on the detection of finger and hand movements using electromyographic (EMG) sensors. These sensors capture the electrical signals generated by the forearm muscles when the fingers move, converting them into analog signals that are processed by a Support Vector Machine (SVM) classification algorithm. The SVM analyzes the signals to identify specific finger movements, enabling the activation of a key with a single finger or a combination of fingers. The system uses an ESP32 S2 mini microcontroller to transmit the processed signals to a computer, where the analysis takes place. The goal is to provide a more accessible and comfortable way of interacting with electronic devices, particularly for users with physical limitations who may have difficulty using conventional keyboards. The main programming languages used in this project are Python, for all the signal processing and the computer application, and Arduino, for the acquisition of the signal with the microcontroller.