loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Heinz-Josef Eikerling ; Michael Uelschen and Florian Lutterbeck

Affiliation: University of Applied Sciences Osnabrueck, Germany

Keyword(s): Sensor network, distributed system, wireless transmission, gait analysis, motion capturing, synchronisation

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Instruments and Devices ; Devices ; Health Monitoring Devices ; Human-Computer Interaction ; Physiological Computing Systems ; Rehabilitation Technology

Abstract: We describe the steps taken to evolve a system which enables gait analysis of persons recovering from illnesses affecting gait. The starting point is a centralized system which is turned into a fully distributed environment. The upgraded system is evaluated in terms of accuracy of the generated data by comparing it with the initial system and a marker-based reference system. Elementary gait metrics are used for these comparisons. Regarding the reference system the deviation (hence error) was found to be below 2%.

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 18.220.66.151

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:
Eikerling, H.; Uelschen, M. and Lutterbeck, F. (2016). Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 195-202. DOI: 10.5220/0005707801950202

@conference{biodevices16,
author={Heinz{-}Josef Eikerling. and Michael Uelschen. and Florian Lutterbeck.},
title={Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES},
year={2016},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005707801950202},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES
TI - Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures
SN - 978-989-758-170-0
IS - 2184-4305
AU - Eikerling, H.
AU - Uelschen, M.
AU - Lutterbeck, F.
PY - 2016
SP - 195
EP - 202
DO - 10.5220/0005707801950202
PB - SciTePress

- 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 (National fixed network call)
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