A Deep Learning Approach to EMG-Based Classification of Gait Phases during Level Ground Walking

A Deep Learning Approach to EMG-Based Classification of Gait Phases during Level Ground Walking

Correctly identifying gait phases is a prerequisite to achieve a spatial/temporal characterization of muscular recruitment during walking. Recent approaches have addressed this issue by applying machine learning techniques to treadmill-walking data. We propose a deep learning approach for surface el...

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Bibliographic Details
Main Authors: Christian Morbidoni, Alessandro Cucchiarelli, Sandro Fioretti, Francesco Di Nardo
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Electronics
Subjects:
sEMG
deep learning
neural networks
gait phase
classification
everyday walking
Online Access:https://www.mdpi.com/2079-9292/8/8/894

Internet

https://www.mdpi.com/2079-9292/8/8/894

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