2020
DOI: 10.9746/jcmsi.13.90
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An Elbow Motion Classification Approach Based on the MT System Using Mechanomyogram Signals

Abstract: The objective of this paper is to propose a mechanomyogram (MMG)-based motion classification system comprised of a muscle-activity onset detector and a motion classifier. The detector identifies muscle-activity onset time using sampled time-series of MMG signals of biceps and triceps brachii of a human upper arm based on the Mahalanobis-Taguchi method. The classifier is based on the Recognition-Taguchi method and an AdaBoost ensemble learning technique, and distinguishes the flexion and extension of an elbow d… Show more

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