Object stiffness recognition and vibratory feedback without ad-hoc sensing on the Hannes prosthesis: A machine learning approach

Object stiffness recognition and vibratory feedback without ad-hoc sensing on the Hannes prosthesis: A machine learning approach

IntroductionIn recent years, hand prostheses achieved relevant improvements in term of both motor and functional recovery. However, the rate of devices abandonment, also due to their poor embodiment, is still high. The embodiment defines the integration of an external object – in this case a prosthe...

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Bibliographic Details
Main Authors: Giulia Bruni, Andrea Marinelli, Anna Bucchieri, Nicolò Boccardo, Giulia Caserta, Dario Di Domenico, Giacinto Barresi, Astrid Florio, Michele Canepa, Federico Tessari, Matteo Laffranchi, Lorenzo De Michieli
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neuroscience
Subjects:
closed-loop control
stiffness recognition
vibrotactile feedback
vibromotor
Hannes prosthetic hand
non-linear logistic regression
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1078846/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1078846/full

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