Design and Characterization of the ReHapticKnob, a Robot for Assessment and Therapy of Hand Function
dc.contributor.author
Metzger, Jean-Claude
dc.contributor.author
Lambercy, Olivier
dc.contributor.author
Chapuis, Dominique
dc.contributor.author
Gassert, Roger
dc.date.accessioned
2024-02-08T12:22:01Z
dc.date.available
2017-06-09T16:44:53Z
dc.date.available
2024-02-08T12:22:01Z
dc.date.issued
2011
dc.identifier.isbn
978-1-61284-454-1
en_US
dc.identifier.isbn
978-1-61284-456-5
en_US
dc.identifier.isbn
978-1-61284-455-8
en_US
dc.identifier.other
10.1109/IROS.2011.6094882
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/39812
dc.description.abstract
Robot-assisted rehabilitation can complement conventional rehabilitation after stroke, by increasing the duration and intensity of therapy and providing precise and objective measurements of interaction dynamics and performance. Such information can be used to drive assist-as-needed control strategies or to complement clinical assessments by reconstructing the scores from robot data. This paper presents the ReHapticKnob, a new end-effector-based hand rehabilitation robot with unique sensing and actuation capabilities for therapy of grasping and forearm rotation tasks. A compact design with high stiffness and high-fidelity instrumentation is presented, allowing for precise assessment and dynamic interaction. The device has two degrees of freedom (DOF), allowing independent control of hand opening/closing and forearm rotation. Each degree of freedom is equipped with a brake to allow independent training of either DOF or to assess isometric force through the two six-axis force/torque sensors located beneath the exchangeable finger fixations. The design, safety features and performance evaluation of the device are discussed and preliminary results from a study on grasping performed with healthy subjects are presented.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Design and Characterization of the ReHapticKnob, a Robot for Assessment and Therapy of Hand Function
en_US
dc.type
Conference Paper
dc.date.published
2011-12-05
ethz.book.title
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
en_US
ethz.pages.start
3074
en_US
ethz.pages.end
3080
en_US
ethz.event
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)
en_US
ethz.event.location
San Francisco, CA, USA
en_US
ethz.event.date
September 25-30, 2011
en_US
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::03827 - Gassert, Roger / Gassert, Roger
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::03827 - Gassert, Roger / Gassert, Roger
ethz.date.deposited
2017-06-09T16:45:15Z
ethz.source
ECIT
ethz.identifier.importid
imp59364e8ab010225988
ethz.ecitpid
pub:66783
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-15T08:50:13Z
ethz.rosetta.lastUpdated
2023-02-06T10:58:39Z
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true
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true
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