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Electromyograms as Physiological Inputs that Provide Efficient Computer Cursor Control

This paper presents a new algorithm to translate electromyogram (EMG) signals, produced during facial muscle contractions, into computer cursor actions. These cursor actions are: left, right, up, down and left-click. The translation is performed in real-time and the classification of the EMG signals is based on features derived from the spectral analysis of the electromyograms. We have sought to improve upon the original EMG-based cursor control system described in [1] [2], and have devised a new system set-up and algorithm for the translation of the EMG signals into cursor actions. The two systems were compared using Matlab simulations and point-and-click trials. The simulation results show a marked improvement of the new system over the previous system in terms of classification accuracy, and the preliminary point-and-click tests indicate the possibility of a faster operation for the new system when compared to the old system. Key-Words: Electromyogram, EMG, human, computer, interface, spectral, analysis