loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Robin Amsters ; Ali Bin Junaid ; Nick Damen ; Jeroen Van de Laer ; Benjamin Filtjens ; Bart Vanrumste and Peter Slaets

Affiliation: KU Leuven, Belgium

ISBN: 978-989-758-299-8

ISSN: 2184-4984

Keyword(s): Gait Analysis, Kinect, Mobile Robot, Kalman Filter.

Abstract: Human gait is an important indicator of health. Existing gait analysis systems are either expensive, intrusive, or require structured environments such as a clinic or a laboratory. In this research, a low-cost, non-obtrusive, dynamic gait monitoring platform is presented. By utilizing a mobile robot equipped with a Kinect sensor, comprehensive gait information can be extracted. The mobile platform tracks the skeletal joint movements while following the person. The acquired skeletal joint data is filtered to improve detection. Gait parameters such as step length, cadence and gait cycle time are extracted by processing the filtered data. The proposed approach was validated by using a VICON motion capture system. Results show that the proposed system is able to accurately detect gait parameters but requires a calibration procedure. Even though the camera is moving while tracking, the performance is on par with existing works. Step times can be detected with an average accuracy of around 10 milliseconds. Step length can be detected with an average accuracy of a few centimeters. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.236.68.118

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Amsters, R.; Bin Junaid, A.; Damen, N.; Van de Laer, J.; Filtjens, B.; Vanrumste, B. and Slaets, P. (2018). Dynamic Gait Monitoring Mobile Platform. In Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE, ISBN 978-989-758-299-8; ISSN 2184-4984, pages 49-61. DOI: 10.5220/0006733200490061

@conference{ict4awe18,
author={Robin Amsters. and Ali {Bin Junaid}. and Nick Damen. and Jeroen {Van de Laer}. and Benjamin Filtjens. and Bart Vanrumste. and Peter Slaets.},
title={Dynamic Gait Monitoring Mobile Platform},
booktitle={Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE,},
year={2018},
pages={49-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006733200490061},
isbn={978-989-758-299-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE,
TI - Dynamic Gait Monitoring Mobile Platform
SN - 978-989-758-299-8
IS - 2184-4984
AU - Amsters, R.
AU - Bin Junaid, A.
AU - Damen, N.
AU - Van de Laer, J.
AU - Filtjens, B.
AU - Vanrumste, B.
AU - Slaets, P.
PY - 2018
SP - 49
EP - 61
DO - 10.5220/0006733200490061

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic

0123movie.net