An Evaluation of Hand-Force Prediction Using Artificial Neural-Network Regression Models of Surface EMG Signals for Handwear Devices

Figure 1

Processing diagram of sEMG signal measurement. Four electrodes are used to obtain sEMG input signals. Each signal is acquired concurrently and then it proceeded to be amplified, quantized, and band-pass filtered before storage to memory. The recorded signals are sent to a PC for offline analysis.