Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control

Al-Timemy, Ali G. and Castellini, Claudio and Escudero, Javier and Khushaba, Rami and Muceli, Silvia (2022) Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control. Frontiers in Neuroscience, 16. Frontiers Media S.A.. doi: 10.3389/fnins.2022.889202. ISSN 1662-4548.

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Official URL: https://dx.doi.org/10.3389/fnins.2022.889202

Item URL in elib:

https://elib.dlr.de/193681/

Document Type:

Article

Title:

Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Al-Timemy, Ali G.	University of Baghdad	UNSPECIFIED	UNSPECIFIED
Castellini, Claudio	UNSPECIFIED	https://orcid.org/0000-0002-7346-2180	UNSPECIFIED
Escudero, Javier	The University of Edinburgh	UNSPECIFIED	UNSPECIFIED
Khushaba, Rami	University of Sydney	UNSPECIFIED	UNSPECIFIED
Muceli, Silvia	Chalmers University of Technology	UNSPECIFIED	UNSPECIFIED

Date:

25 April 2022

Journal or Publication Title:

Frontiers in Neuroscience

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

Yes

In SCOPUS:

Yes

In ISI Web of Science:

Yes

Volume:

DOI:

10.3389/fnins.2022.889202

Publisher:

Frontiers Media S.A.

ISSN:

1662-4548

Status:

Published

Keywords:

prosthesis

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Robotics

DLR - Research area:

Raumfahrt

DLR - Program:

R RO - Robotics

DLR - Research theme (Project):

R - Medical Assistance Systems [RO]

Location:

Oberpfaffenhofen

Institutes and Institutions:

Institute of Robotics and Mechatronics (since 2013)

Deposited By:

Strobl, Dr.-Ing. Klaus H.

Deposited On:

28 Jan 2023 12:06

Last Modified:

28 Jan 2023 12:06

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