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

Gigli, Andrea und Gijsberts, Arjan und 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), 2019-06-24 - 2019-06-28, Toronto, Canada.

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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/127810/
Dokumentart:Konferenzbeitrag (Anderer)
Titel:Natural Myocontrol in a Realistic Setting: a Comparison Between Static and Dynamic Data Acquisition
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Gigli, AndreaAndrea.Gigli (at) dlr.dehttps://orcid.org/0000-0001-7049-485XNICHT SPEZIFIZIERT
Gijsberts, ArjanIIT Genua, ItalienNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Castellini, ClaudioClaudio.Castellini (at) dlr.dehttps://orcid.org/0000-0002-7346-2180NICHT SPEZIFIZIERT
Datum:Juni 2019
Erschienen in:IEEE International Conference on Rehabilitation Robotics
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:myoelectric prosthesis control data acquisition limb position
Veranstaltungstitel:16th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR 2019)
Veranstaltungsort:Toronto, Canada
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:24 Juni 2019
Veranstaltungsende:28 Juni 2019
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Technik für Raumfahrtsysteme
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R SY - Technik für Raumfahrtsysteme
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Intelligente Mobilität (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Robotik und Mechatronik (ab 2013) > Kognitive Robotik
Hinterlegt von: Gigli, Mr Andrea
Hinterlegt am:17 Jun 2019 09:42
Letzte Änderung:24 Apr 2024 20:31

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

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