An Efficient Algorithm for Kinematics Estimation with Application to Dynamic Gait Stability using a Contact-less Skeleton Tracking System

Michael Uelschen, Heinz-Josef Eikerling, Sabrina Rbib, Helge Riepenhof

2020

Abstract

This paper presents an optimized algorithm for estimating static and dynamic gait parameters. We use a marker- and contact-less motion capture system that identifies 20 joints of a person walking along a corridor. Based on the proposed gait cycle detection basic metrics as walking frequency, step/stride length, and support phases are estimated automatically. Applying a rigid body model, we are capable to calculate static and dynamic gait stability metrics. We conclude with initial results of a clinical study evaluating orthopaedic technical support.

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Paper Citation


in Harvard Style

Uelschen M., Eikerling H., Rbib S. and Riepenhof H. (2020). An Efficient Algorithm for Kinematics Estimation with Application to Dynamic Gait Stability using a Contact-less Skeleton Tracking System. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 1: BIODEVICES; ISBN 978-989-758-398-8, SciTePress, pages 94-101. DOI: 10.5220/0008943100940101


in Bibtex Style

@conference{biodevices20,
author={Michael Uelschen and Heinz-Josef Eikerling and Sabrina Rbib and Helge Riepenhof},
title={An Efficient Algorithm for Kinematics Estimation with Application to Dynamic Gait Stability using a Contact-less Skeleton Tracking System},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 1: BIODEVICES},
year={2020},
pages={94-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008943100940101},
isbn={978-989-758-398-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 1: BIODEVICES
TI - An Efficient Algorithm for Kinematics Estimation with Application to Dynamic Gait Stability using a Contact-less Skeleton Tracking System
SN - 978-989-758-398-8
AU - Uelschen M.
AU - Eikerling H.
AU - Rbib S.
AU - Riepenhof H.
PY - 2020
SP - 94
EP - 101
DO - 10.5220/0008943100940101
PB - SciTePress