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Electromyography data for non-invasive naturally-controlled robotic hand prostheses

Atzori, Manfredo and Gijsberts, Arjan and Castellini, Claudio and Caputo, Barbara and Mittaz Hager, Anne-Gabrielle and Elsig, Simone and Giatsidis, Giorgio and Bassetto, Franco and Müller, Henning (2014) Electromyography data for non-invasive naturally-controlled robotic hand prostheses. Scientific Data, 1. Nature Publishing Group. DOI: 10.1038/sdata.2014.53 ISSN 2052-4463

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Official URL: http://www.nature.com/articles/sdata201453


Recent advances in rehabilitation robotics suggest that it may be possible for hand-amputated subjects to recover at least a significant part of the lost hand functionality. The control of robotic prosthetic hands using non-invasive techniques is still a challenge in real life: myoelectric prostheses give limited control capabilities, the control is often unnatural and must be learned through long training times. Meanwhile, scientific literature results are promising but they are still far from fulfilling real-life needs. This work aims to close this gap by allowing worldwide research groups to develop and test movement recognition and force control algorithms on a benchmark scientific database. The database is targeted at studying the relationship between surface electromyography, hand kinematics and hand forces, with the final goal of developing non-invasive, naturally controlled, robotic hand prostheses. The validation section verifies that the data are similar to data acquired in real-life conditions, and that recognition of different hand tasks by applying state-of-the-art signal features and machine-learning algorithms is possible.

Item URL in elib:https://elib.dlr.de/94692/
Document Type:Article
Additional Information:to appear.
Title:Electromyography data for non-invasive naturally-controlled robotic hand prostheses
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Atzori, ManfredoHES-SO, SwitzerlandUNSPECIFIED
Gijsberts, ArjanIDIAP, SwitzerlandUNSPECIFIED
Castellini, Claudioclaudio.castellini (at) dlr.deUNSPECIFIED
Caputo, BarbaraIDIAP, SwitzerlandUNSPECIFIED
Mittaz Hager, Anne-GabrielleHES-SO, SwitzerlandUNSPECIFIED
Elsig, SimoneHES-SO, SwitzerlandUNSPECIFIED
Giatsidis, GiorgioUniversity of Padua, ItalyUNSPECIFIED
Bassetto, FrancoUniversity of Padua, ItalyUNSPECIFIED
Müller, HenningHES-SO, SwitzerlandUNSPECIFIED
Journal or Publication Title:Scientific Data
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.1038/sdata.2014.53
Publisher:Nature Publishing Group
Keywords:surface electromyography, rehabilitation robotics, assistive robotics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben Multisensorielle Weltmodellierung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Perception and Cognition
Deposited By: Castellini, Dr. Claudio
Deposited On:27 Jan 2015 21:14
Last Modified:14 Dec 2019 04:23

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