A mechatronic leg replica to benchmark human-exoskeleton physical interactions.

exoskeleton benchmark exoskeleton evaluation interaction forces leg replica pHEI sensorized dummy wearable robot

Journal

Bioinspiration & biomimetics
ISSN: 1748-3190
Titre abrégé: Bioinspir Biomim
Pays: England
ID NLM: 101292902

Informations de publication

Date de publication:
28 04 2023
Historique:
received: 09 12 2022
accepted: 17 04 2023
medline: 1 5 2023
pubmed: 18 4 2023
entrez: 17 4 2023
Statut: epublish

Résumé

Evaluating human-exoskeleton interaction typically requires experiments with human subjects, which raises safety issues and entails time-consuming testing procedures. This paper presents a mechatronic replica of a human leg, which was designed to quantify physical interaction dynamics between exoskeletons and human limbs without the need for human testing. In the first part of this work, we present the mechanical, electronic, sensory system and software solutions integrated in our leg replica prototype. In the second part, we used the leg replica to test its interaction with two types of commercially available wearable devices, i.e. an active full leg exoskeleton and a passive knee orthosis. We ran basic test examples to demonstrate the functioning and benchmarking potential of the leg replica to assess the effects of joint misalignments on force transmission. The integrated force sensors embedded in the leg replica detected higher interaction forces in the misaligned scenario in comparison to the aligned one, in both active and passive modalities. The small standard deviation of force measurements across cycles demonstrates the potential of the leg replica as a standard test method for reproducible studies of human-exoskeleton physical interaction.

Identifiants

pubmed: 37068491
doi: 10.1088/1748-3190/accda8
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Miha Dežman (M)

Department of Automation, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.

Stefano Massardi (S)

Department of Industrial Mechanical Engineering (DIMI), University of Brescia (UNIBS), Brescia, Italy.
Instituto Cajal, Spanish National Research Council (CSIC), Madrid, Spain.

David Pinto-Fernandez (D)

Universidad Politécnica de Madrid, Madrid, Spain.
Instituto Cajal, Spanish National Research Council (CSIC), Madrid, Spain.

Victor Grosu (V)

Department of Mechanical Engineering, Robotics & Multibody Mechanics Research Group (R&MM), and Flanders Make, Vrije Universiteit Brussel, Brussel, Belgium.
Research and Development Department, GROVIXON BV, Vilvoorde, Belgium.

Carlos Rodriguez-Guerrero (C)

Department of Mechanical Engineering, KU Leuven, Leuven, Belgium.

Jan Babič (J)

Laboratory for Neuromechanics and Biorobotics, Jožef Stefan Institute, Ljubljana, Slovenia.
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.

Diego Torricelli (D)

Instituto Cajal, Spanish National Research Council (CSIC), Madrid, Spain.

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Classifications MeSH