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Natural Myocontrol in a Realistic Setting: a Comparison Between Static and Dynamic Data Acquisition

Gigli, Andrea and Gijsberts, Arjan and Castellini, Claudio (2019) Natural Myocontrol in a Realistic Setting: a Comparison Between Static and Dynamic Data Acquisition. In: IEEE International Conference on Rehabilitation Robotics. 16th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2019), 24-28 Jun 2019, Toronto, Canada.

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Abstract

Natural myocontrol employs pattern recognition to allow users to control a robotic limb intuitively using their own voluntary muscular activations. The reliability of myocontrol strongly depends on the signals initially collected from the users, which must appropriately capture the variability encountered later on during operation. Since myoelectric signals can vary based on the position and orientation of the limb, it has become best practice to gather data in multiple body postures. We hereby concentrate on this acquisition protocol and investigate the relative merits of collecting data either statically or dynamically. In the static case, data for a desired hand configuration is collected while the users keep their hand still in certain positions, whereas in the dynamic case, data is collected while users move their limbs, passing through the required positions with a roughly constant velocity. Fourteen able-bodied subjects were asked to naturally control two dexterous hand prostheses mounted on splints, performing a set of complex, realistic bimanual activities of daily living. We could not find any significant difference between the protocols in terms of the total execution times, although the dynamic data acquisition was faster and less tiring. This would indicate that dynamic data acquisition should be preferred over the static one.

Item URL in elib:https://elib.dlr.de/127810/
Document Type:Conference or Workshop Item (Other)
Title:Natural Myocontrol in a Realistic Setting: a Comparison Between Static and Dynamic Data Acquisition
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gigli, AndreaAndrea.Gigli (at) dlr.deUNSPECIFIED
Gijsberts, ArjanIIT Genua, ItalienUNSPECIFIED
Castellini, ClaudioClaudio.Castellini (at) dlr.dehttps://orcid.org/0000-0002-7346-2180
Date:June 2019
Journal or Publication Title:IEEE International Conference on Rehabilitation Robotics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Status:Accepted
Keywords:myoelectric prosthesis control data acquisition limb position
Event Title:16th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2019)
Event Location:Toronto, Canada
Event Type:international Conference
Event Dates:24-28 Jun 2019
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 Intelligente Mobilität
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Gigli, Andrea
Deposited On:17 Jun 2019 09:42
Last Modified:31 Jul 2019 20:25

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  • Natural Myocontrol in a Realistic Setting: a Comparison Between Static and Dynamic Data Acquisition. (deposited 17 Jun 2019 09:42) [Currently Displayed]

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