SVM classification of locomotion modes using surface electromyography for applications in rehabilitation robotics

Abstract

The next generation of tools for rehabilitation robotics requires advanced human-robot interfaces able to activate the device as soon as patient's motion intention is raised. This paper investigated the suitability of Support Vector Machine (SVM) classifiers for identification of locomotion intentions from surface electromyography (sEMG) data. A phase… (More)
DOI: 10.1109/ROMAN.2010.5598664

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