Monitoring Hand Gesture and Effort Using a Low-Cost Open-Source Microcontroller System Coupled with Force Sensitive Resistors and Electromyography Sensors

mMyoHMI: A Flexible Low-Cost Mobile Platform for EMG-based Gesture Recognition

“…The decisions will then be processed to generate commands to control external applications such as a prosthetic hand. Recently, with the advancement of deep learning (DL) [ [15][16][17][18][19]. Compared to conventional non-DL methods commonly used for EMG pattern recognition, DL algorithms have the advantage of automatically extracting EMG features without the cumbersome manual feature engineering step and are especially effective in processing sEMG signals collected from 1-dimentional (1D) or 2D sensor arrays.…”