Estimating Stair Running Performance Using Inertial Sensors
Name
sensors-17-02647.pdf
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2.69 MB
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Adobe PDF
Checksum (MD5)
2d096166c25baf40d0c13f83b5912f43
Author(s)
Ojeda, Lauro
Zaferiou, Antonia
Cain, Stephen
Vitali, Rachel
Davidson, Steven
Perkins, Noel
Stirling, Leia A.
Date Issued
November 2017
Journal
Sensors
Publisher
MDPI AG
Citation
Ojeda, Lauro, Antonia Zaferiou, Stephen Cain, Rachel Vitali, Steven Davidson, Leia Stirling, and Noel Perkins. “Estimating Stair Running Performance Using Inertial Sensors.” Sensors 17, no. 12 (November 17, 2017): 2647. © 2017 by the Authors
Version
Final published version
Abstract
tair running, both ascending and descending, is a challenging aerobic exercise that many athletes, recreational runners, and soldiers perform during training. Studying biomechanics of stair running over multiple steps has been limited by the practical challenges presented while using optical-based motion tracking systems. We propose using foot-mounted inertial measurement units (IMUs) as a solution as they enable unrestricted motion capture in any environment and without need for external references. In particular, this paper presents methods for estimating foot velocity and trajectory during stair running using foot-mounted IMUs. Computational methods leverage the stationary periods occurring during the stance phase and known stair geometry to estimate foot orientation and trajectory, ultimately used to calculate stride metrics. These calculations, applied to human participant stair running data, reveal performance trends through timing, trajectory, energy, and force stride metrics. We present the results of our analysis of experimental data collected on eleven subjects. Overall, we determine that for either ascending or descending, the stance time is the strongest predictor of speed as shown by its high correlation with stride time.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Attribution 4.0 International (CC BY 4.0)
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/s17112647
