Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition.

Regarding the first point, there is a notable trend towards using deep learning for hand gesture recognition aimed at myoelectric control of upper artificial limbs [ 25 , 26 ], which deserves investigation for lower-limb applications.

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Introduction In the last two decades, there has been an increasing trend in the development of specific sensors and technologies for human–machine interfaces (HMIs) [ 1 ].

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