A. Mengarelli

Impact of Sampling Rate and Quantization on EMG-Based HMI: Achieving Hardware Invariance by Advanced Feature Engineering

Electromyography (EMG) serves as a robust signal source for developing intuitive human-machine interfaces (HMIs). With the proliferation of commercial and prototype EMG armbands, there is a growing need to balance high-accuracy gesture recognition with hardware constraints. While deep learning architectures have achiev...