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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%.

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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

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