loading page

Gaitmap - An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
  • +11
  • Arne Küderle ,
  • Martin Ullrich ,
  • Nils Roth ,
  • Malte Ollenschläger ,
  • Alzhraa Ibrahim ,
  • Hamid Moradi ,
  • robert richer ,
  • Ann-Kristin Seifer ,
  • Matthias Zürl ,
  • Raul Sîmpetru ,
  • Liv Herzer ,
  • Dominik Prossel ,
  • Felix Kluge ,
  • Bjoern Eskofier
Arne Küderle
Friedrich-Alexander-Universität Erlangen-Nürnberg, Friedrich-Alexander-Universität Erlangen-Nürnberg

Corresponding Author:[email protected]

Author Profile
Martin Ullrich
Author Profile
Nils Roth
Author Profile
Malte Ollenschläger
Author Profile
Alzhraa Ibrahim
Author Profile
Hamid Moradi
Author Profile
robert richer
Author Profile
Ann-Kristin Seifer
Author Profile
Matthias Zürl
Author Profile
Raul Sîmpetru
Author Profile
Liv Herzer
Author Profile
Dominik Prossel
Author Profile
Felix Kluge
Author Profile
Bjoern Eskofier
Author Profile


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 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.