A Public Dataset of Overground and Treadmill Walking in Healthy Individuals Captured by Wearable IMU and sEMG Sensors

Harald Loose, Laura Tetzlaff, Jon Lindström Bolmgren

2020

Abstract

The paper presents our public Gait Analysis Data Base (http://gaitanalysis.th-brandenburg.de), which contains 3D walking kinematics and muscle activity data from healthy adults walking at normal, slow or fast pace on the flat ground or at an incremental speeds on treadmill. The acceleration, angular velocity and magnetic rate vectors are measured using XSens MTw sensors attached to both feet, shanks, thighs and the pelvis. EMG recordings are acquired using PLUX sEMG sensors applied at various leg muscles. The paper gives not only a detailed description of the data base, its webpage and the used terms (scenario, proband, experiment and trial), but also an overview about the experimental setup, the acquisition of data and the procedure of the experiments, the data processing and evaluation. Results of exemplary applications are described in the second part of the paper. Here the focus is set on the performance of walking: the individual ability to control, to repeat and to reproduce the pace or the dependence of gait parameters on the pre-set velocity.

Paper Citation

in Harvard Style

Loose H., Tetzlaff L. and Bolmgren J. (2020). A Public Dataset of Overground and Treadmill Walking in Healthy Individuals Captured by Wearable IMU and sEMG Sensors. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 4: BIOSIGNALS; ISBN 978-989-758-398-8, SciTePress, pages 164-171. DOI: 10.5220/0008879501640171

in Bibtex Style

@conference{biosignals20,
author={Harald Loose and Laura Tetzlaff and Jon Lindström Bolmgren},
title={A Public Dataset of Overground and Treadmill Walking in Healthy Individuals Captured by Wearable IMU and sEMG Sensors},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 4: BIOSIGNALS},
year={2020},
pages={164-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008879501640171},
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 4: BIOSIGNALS
TI - A Public Dataset of Overground and Treadmill Walking in Healthy Individuals Captured by Wearable IMU and sEMG Sensors
SN - 978-989-758-398-8
AU - Loose H.
AU - Tetzlaff L.
AU - Bolmgren J.
PY - 2020
SP - 164
EP - 171
DO - 10.5220/0008879501640171
PB - SciTePress