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EMG-driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation.

Sierotowicz, Marek and Lotti, Nicola and Nell, Laura and Missiroli, Francesco and Alicea, Ryan and Zhang, Xiaohui and Xiloyannis, Michele and Rupp, Ruediger and Papp, Emese and Krzywinski, Jens and Castellini, Claudio and Masia, Lorenzo (2022) EMG-driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation. IEEE Robotics and Automation Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LRA.2021.3140055. ISSN 2377-3766.

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Official URL: http://dx.doi.org/10.1109/LRA.2021.3140055


Item URL in elib:https://elib.dlr.de/148008/
Document Type:Article
Title:EMG-driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation.
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sierotowicz, MarekMarek.Sierotowicz (at) dlr.deUNSPECIFIED
Lotti, NicolaUniversity of HeidelbergUNSPECIFIED
Nell, LauraUniversity of HeidelbergUNSPECIFIED
Missiroli, FrancescoUniversity of HeidelbergUNSPECIFIED
Alicea, RyanUniversity of HeidelbergUNSPECIFIED
Zhang, XiaohuiUniversity of HeidelbergUNSPECIFIED
Xiloyannis, MicheleETHZ ZürichUNSPECIFIED
Rupp, RuedigerUniversity of HeidelbergUNSPECIFIED
Papp, EmeseTU DresdenUNSPECIFIED
Krzywinski, JensTU DresdenUNSPECIFIED
Castellini, ClaudioClaudio.Castellini (at) dlr.dehttps://orcid.org/0000-0002-7346-2180
Masia, LorenzoUniversity of HeidelbergUNSPECIFIED
Date:2022
Journal or Publication Title:IEEE Robotics and Automation Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1109/LRA.2021.3140055
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2377-3766
Status:Published
Keywords:machine learning, rehabilitation robotics, soft glove, electromyography
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Terrestrial Assistance Robotics
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Institute of Robotics and Mechatronics (since 2013) > Autonomy and Teleoperation
Deposited By: Castellini, Dr. Claudio
Deposited On:10 Jan 2022 09:25
Last Modified:24 May 2022 23:48

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