Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures

Heinz-Josef Eikerling, Michael Uelschen, Florian Lutterbeck

2016

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 Harvard Style

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 - Volume 1: BIODEVICES, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 195-202. DOI: 10.5220/0005707801950202

in Bibtex Style

@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 - Volume 1: BIODEVICES, (BIOSTEC 2016)},
year={2016},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005707801950202},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)
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
AU - Eikerling H.
AU - Uelschen M.
AU - Lutterbeck F.
PY - 2016
SP - 195
EP - 202
DO - 10.5220/0005707801950202