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Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds

Jaquier, Noémie and Castellini, Claudio and Calinon, Sylvain (2017) Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds. MEC - Myoelectric Control Symposium, Fredericton, Canada. DOI: 10.13140/RG.2.2.18780.28804

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Item URL in elib:https://elib.dlr.de/113770/
Document Type:Conference or Workshop Item (Speech)
Additional Information:to appear.
Title:Improving hand and wrist activity detection using tactile sensors and tensor regression methods on Riemannian manifolds
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Jaquier, NoémieIdiapUNSPECIFIED
Castellini, Claudioclaudio.castellini (at) dlr.dehttps://orcid.org/0000-0002-7346-2180
Calinon, SylvainIdiapUNSPECIFIED
Date:2017
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.13140/RG.2.2.18780.28804
Status:Published
Keywords:assistive robotics, tactile sensing
Event Title:MEC - Myoelectric Control Symposium
Event Location:Fredericton, Canada
Event Type:international Conference
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: Castellini, Dr. Claudio
Deposited On:07 Dec 2017 12:01
Last Modified:31 Jul 2019 20:11

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