Benchmarking of IMU-Based Gait Event Detection Algorithms Across Diverse Terrain Conditions
This study compares IMU-based gait event detection algorithms on irregular terrains, revealing that performance degrades as terrain complexity increases. Additionally, this study showcases the ability of the standardized EUROBENCH benchmarking framework to test locomotion in real-like terrain conditions.
Authors
- Juan C. Moreno (ORCID: https://orcid.org/0000-0001-9561-7764)
- Renato Torre (ORCID: https://orcid.org/0000-0003-3182-9906)
- Jorge A. Gómez-García (ORCID: https://orcid.org/0000-0002-6060-387X)
- Gian Michele Ratto (ORCID: https://orcid.org/0000-0001-9632-7769)
- Diego Torricelli (ORCID: https://orcid.org/0000-0001-8767-3395)
- Adriana Torres-Pardo (ORCID: https://orcid.org/0000-0001-9095-6927)
- Francesco Crenna (ORCID: https://orcid.org/0000-0002-4803-2082)
- Teresa Rodríguez Millán
- Carlota Trigo
- Pietro Della Vecchia
Institutions
- Politecnico di Torino (IT)
- 5T Torino (Italy) (IT)
- Centre for Automation and Robotics (ES)
- Hospital San Pedro (ES)
- University of Turin (IT)
- University of Genoa (IT)
Publication Details
- Journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tnsre.2025.3596319
- Citations
- 1
- Primary Topic
- Gait Recognition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Ministerio de Ciencia e Innovación
- Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España