sEMG data, from male and female, for 8 movements of the shoulder. Used for classification. All details about acquisition and preliminary results are published in : D. Rivela, A, Scannella, E. Pavan,
This database were used to evaluate algorithm for detection of movement cycles based on the video and sEMG signal. The movement cycle identification is necessary for the calculation of an average sEMG
A load (zero order) can be controlled by EMG of two antagonistic muscles. Data was acquired to evaluate EMG control of a virtual arm or leg prosthesis. This is just a test, with no other purpose other
Dataset and code to replicate the paper: Orlandi et al., "Real-Time Motor Unit Tracking from sEMG Signals with Adaptive ICA on a Parallel Ultra-Low Power Processor"