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Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses

High rejection rates in upper‐limb prosthetics stem from limited usability and excessive cognitive workload (CW), as traditional electromyographic (EMG) control strategies suffer from signal variability and require continuous user effort. Vision‐based semiautonomous control strategies (SCS) are prop...

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Autori principali: Gianmarco Cirelli, Enrica Stefanelli, Roberto Billardello, Christian Tamantini, Silvia Leonelli, Loredana Zollo, Luigi Pietro Cordella, Francesca Cordella
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2026-04-01
Serie:Advanced Intelligent Systems
Soggetti:
computer vision
electromyographic
pattern recognition
semiautonomous control
upper‐limb prosthetics
Accesso online:https://doi.org/10.1002/aisy.202501043
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