Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking

Küderle A, Ullrich M, Roth N, Ollenschläger M, Ibrahim A, Moradi H, Richer R, Seifer AK, Zürl M, Simpetru R, Herzer L, Prossel D, Kluge F, Eskofier B (2024)

Publication Type: Journal article

Publication year: 2024

Journal

IEEE Open Journal of Engineering in Medicine and Biology IEEE

Pages Range: 1-10

DOI: 10.1109/OJEMB.2024.3356791

Abstract

Goal: Gait analysis using inertial measurement units (IMUs) has emerged as a promising method for monitoring movement disorders. However, the lack of public data and easy-to-use open-source algorithms hinders method comparison and clinical application development. To address these challenges, this publication introduces the gaitmap ecosystem, a comprehensive set of open source Python packages for gait analysis using foot-worn IMUs. Methods: This initial release includes over 20 state-of-the-art algorithms, enables easy access to seven datasets, and provides eight benchmark challenges with reference implementations. Together with its extensive documentation and tooling, it enables rapid development and validation of new algorithm and provides a foundation for novel clinical applications. Conclusion: The published software projects represent a pioneering effort to establish an open-source ecosystem for IMU-based gait analysis. We believe that this work can democratize the access to high-quality algorithm and serve as a driver for open and reproducible research in the field of human gait analysis and beyond.

Authors with CRIS profile

Arne Küderle Machine Learning and Data Analytics Lab Martin Ullrich Machine Learning and Data Analytics Lab Nils Roth Machine Learning and Data Analytics Lab Malte Ollenschläger Machine Learning and Data Analytics Lab Alzhraa Ibrahim Machine Learning and Data Analytics Lab Hamid Moradi Machine Learning and Data Analytics Lab Robert Richer Machine Learning and Data Analytics Lab Ann-Kristin Seifer Machine Learning and Data Analytics Lab Matthias Zürl Machine Learning and Data Analytics Lab Raul Simpetru Juniorprofessur für Neuromuscular Physiology and Neural Interfacing Felix Kluge Machine Learning and Data Analytics Lab Björn Eskofier Machine Learning and Data Analytics Lab

How to cite

APA:

Küderle, A., Ullrich, M., Roth, N., Ollenschläger, M., Ibrahim, A., Moradi, H.,... Eskofier, B. (2024). Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking. IEEE Open Journal of Engineering in Medicine and Biology, 1-10. https://dx.doi.org/10.1109/OJEMB.2024.3356791

MLA:

Küderle, Arne, et al. "Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking." IEEE Open Journal of Engineering in Medicine and Biology (2024): 1-10.

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