A muscle synergies-based controller to drive a powered upper-limb exoskeleton in reaching tasks

A muscle synergies-based controller to drive a powered upper-limb exoskeleton in reaching tasks

This work introduces a real-time intention decoding algorithm grounded in muscle synergies (Syn-ID). The algorithm detects the electromyographic (EMG) onset and infers the direction of the movement during reaching tasks to control a powered shoulder–elbow exoskeleton. Features related to muscle syne...

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Bibliographic Details
Main Authors: Michele Francesco Penna, Luca Giordano, Stefano Tortora, Davide Astarita, Lorenzo Amato, Filippo Dell’Agnello, Emanuele Menegatti, Emanuele Gruppioni, Nicola Vitiello, Simona Crea, Emilio Trigili
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Wearable Technologies
Subjects:
Exoskeletons
Intention decoding
electromyography
wearable robotics
Online Access:https://www.cambridge.org/core/product/identifier/S2631717624000161/type/journal_article
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