Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework

Abstract

This contribution presents a novel methodology for myolectric-based control using surface electromyographic (sEMG) signals recorded during finger movements. A multivariate Bayesian mixture of experts (MoE) model is introduced which provides a powerful method for modeling force regression at the fingertips, while also performing finger movement… (More)
DOI: 10.3389/fbioe.2018.00013

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