Improved running gait parameter estimation from single foot-mounted IMU data based on refined event detection
This study validates an IMU framework improving running gait detection. Through sensor fusion, MFD-GED enables high-fidelity parameter estimation. While lab-validated for healthy young males, findings affirm its potential running for future gait monitoring tasks, aiming to offer a reliable tool for professionals in the field.
Authors
- Lixin Sun (ORCID: https://orcid.org/0000-0002-0324-5391)
- Qingjun Xing
- Yiwei Wu
- Changda Lu
- Haoran Zhang
- Shuhan Wang
- Yanfei Shen
Institutions
- General Administration of Sport of China (CN)
- Beijing Sport University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2026-01-13
- DOI
- https://doi.org/10.3389/fbioe.2025.1714473
- Primary Topic
- Gait Recognition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China