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, 2017-08-15 - 2017-08-18, 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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Jaquier, Noémie	Idiap	UNSPECIFIED	UNSPECIFIED
Castellini, Claudio	UNSPECIFIED	https://orcid.org/0000-0002-7346-2180	UNSPECIFIED
Calinon, Sylvain	Idiap	UNSPECIFIED	UNSPECIFIED

Date:

2017

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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

Event Start Date:

15 August 2017

Event End Date:

18 August 2017

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Vorhaben Intelligente Mobilität (old)

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:

30 Jul 2024 14:18

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