Myoelectric pattern recognition-based upper limb prostheses measure electromyographic (EMG) signals from the residual limb and learn to identify muscle activity patterns that correspond to intended gestures. To train an accurate pattern recognition controller, it is essential that the training signals typify signals measured in real-world scenarios. When these conditions are...