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A Human Action Descriptor based on Motion Coordination

Falco, Pietro and Saveriano, Matteo and Hasany, Eka and Kirk, Nicholas and Lee, Dongheui (2017) A Human Action Descriptor based on Motion Coordination. IEEE Robotics and Automation Letters, 2 (2), pp. 811-818. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LRA.2017.2652494. ISSN 2377-3766.

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Abstract

In this paper, we present a descriptor for human whole-body actions based on motion coordination. We exploit the principle, well known in neuromechanics, that humans move their joints in a coordinated fashion. Our coordination-based descriptor (CODE) is computed by two main steps. The first step is to identify the most informative joints which characterize the motion. The second step enriches the descriptor considering minimum and maximum joint velocities and the correlations between the most informative joints. In order to compute the distances between action descriptors, we propose a novel correlation-based similarity measure. The performance of CODE is tested on two public datasets, namely HDM05 and Berkeley MHAD, and compared with state-of-the-art approaches, showing recognition results.

Item URL in elib:https://elib.dlr.de/113319/
Document Type:Article
Title:A Human Action Descriptor based on Motion Coordination
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Falco, PietroTUMUNSPECIFIEDUNSPECIFIED
Saveriano, MatteoTUMUNSPECIFIEDUNSPECIFIED
Hasany, EkaTUMUNSPECIFIEDUNSPECIFIED
Kirk, NicholasTUMUNSPECIFIEDUNSPECIFIED
Lee, DongheuiUNSPECIFIEDhttps://orcid.org/0000-0003-1897-7664UNSPECIFIED
Date:16 January 2017
Journal or Publication Title:IEEE Robotics and Automation Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:2
DOI:10.1109/LRA.2017.2652494
Page Range:pp. 811-818
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2377-3766
Status:Published
Keywords:Action descriptor, correlation, Motion coordination
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 - Terrestrial Assistance Robotics (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013)
Deposited By: Lee, Prof. Dongheui
Deposited On:19 Jul 2017 15:44
Last Modified:14 Dec 2019 04:23

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