Estimation of the Human Arm Tip Forces by Using Emg Signals
نویسندگان
چکیده
In this work, the signal-force relation is investigated by analyzing the EMG signals measured from the muscles under the effect of forces. Surface EMG signals are recorded during the isometric and anisometric contraction of four muscles with different levels of forces applied to the arm. Higher order frequency moments calculated from the power spectrum of signals are used as characterizing features. An artificial neural network is trained for the estimation of the arm tip forces using the EMG signals recorded simultaneously from the muscles. The results can be used in the design of active arm prosthesis for the patients with amputated arms from the elbow.
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