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Cited by 293

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User‐adaptive control of a magnetorheological prosthetic knee

Herr, Hugh, Wilkenfeld, Ari·2003·Industrial Robot: An International Journal

Abstract

A magnetorheological knee prosthesis is presented that automatically adapts knee damping to the gait of the amputee using only local sensing of knee force, torque, and position. To assess the clinical effects of the user‐adaptive knee prosthesis, kinematic gait data were collected on four unilateral trans‐femoral amputees. Using the user‐adaptive knee and a conventional, non‐adaptive knee, gait kinematics were evaluated on both affected and unaffected sides. Results were compared to the kinematics of 12 age, weight and height matched normals. We find that the user‐adaptive knee successfully controls early stance damping, enabling amputee to undergo biologically‐realistic, early stance knee flexion. These results indicate that a user‐adaptive control scheme and local mechanical sensing are all that is required for amputees to walk with an increased level of biological realism compared to mechanically passive prosthetic systems.

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Metadata

Authors
Herr, H., & Wilkenfeld, A.
Venue
Industrial Robot: An International Journal
Publisher
Emerald
Published
2003-02-01
Volume
30
Issue
1
Pages
42-55
ISSN
0143-991X (ISSN-L)
OpenAlex
W2077458356
Cited by
293
References
1
FWCI
4.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: User‐adaptive control of a magnetorheological prosthetic knee. https://app.cochat.ai/papers/10.1108/01439910310457706
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Herr, H., & Wilkenfeld, A. (2003). User‐adaptive control of a magnetorheological prosthetic knee. Industrial Robot: An International Journal. https://doi.org/10.1108/01439910310457706

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.