Paper Info
Title
Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units.
Abstract
Running has a positive impact on human health and is an accessible sport for most people. There is high demand for tracking running performance and progress for amateurs and professionals alike. The parameters velocity and distance are thereby of main interest. In this work, we evaluate the accuracy of four algorithms, which calculate the stride velocity and stride length during running using data of an inertial measurement unit (IMU) placed in the midsole of a running shoe. The four algorithms are based on stride time, foot acceleration, foot trajectory estimation, and deep learning, respectively. They are compared using two studies: a laboratory-based study comprising 2377 strides from 27 subjects with 3D motion tracking as a reference and a field study comprising 12 subjects performing a 3.2-km run in a real-world setup. The results show that the foot trajectory estimation algorithm performs best, achieving a mean error of 0.032 +/- 0.274 m/s for the velocity estimation and 0.022 +/- 0.157 m for the stride length. An interesting alternative for systems with a low energy budget is the acceleration-based approach. Our results support the implementation decision for running velocity and distance tracking using IMUs embedded in the sole of a running shoe.
Year
DOI
Venue
2018
10.3390/s18124194
SENSORS
Keywords
Field
DocType
wearable sensors,inertial measurement unit,gait,running,stride length,velocity,smart shoe
Inertial frame of reference,Units of measurement,STRIDE,Simulation,Electronic engineering,Engineering
Journal
Volume
Issue
ISSN
18
12.0
1424-8220
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
Markus Zrenner100.34
Stefan Gradl2236.70
Ulf Jensen351.94
Martin Ullrich400.34
Björn M. Eskofier5386.97