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Proceedings 2018, 2(6), 197; https://doi.org/10.3390/proceedings2060197

Feature Extraction from MEMS Accelerometer and Motion Tracking Measurements in Comparison with Smart Bands during Running

1
Faculty of Technology & Bionics, Rhine-Waal University of Applied Sciences, 47533 Cleve, Germany
2
Griffith School of Engineering, Griffith University, Nathan 4111, Australia
Presented at the 12th conference of the International Sports Engineering Association, Brisbane, Queensland, Australia, 26–29 March 2018.
*
Author to whom correspondence should be addressed.
Published: 14 February 2018
Download PDF [843 KB, uploaded 23 March 2018]

Abstract

Athlete monitoring is a major field of interest for professional and recreational runners as well as for coaches to improve performance and reduce injury risk. The development of inertial sensors in recent years offers the opportunity to improve the number of monitored training sessions significantly. This research used a self-developed inertial sensor in conjunction with a motion tracking system and four smart bands to record the runner’s movement and extract parameters such as step numbers and frequencies. The data recorded were calibrated before it was high-pass filtered to remove gravity components from the signal. A peak detection algorithm was developed to find the number of steps, which have been further used to compare the different systems (IMU, motion capture, smart bands) and find their agreement. The results showed a very strong correlation between the IMU and the motion tracking system of r2 = 0.998, and an r2 = 0.996 between the IMU and one smart band.
Keywords: running; accelerometer; IMU; stride frequency; steps; distance; calories; smart bands running; accelerometer; IMU; stride frequency; steps; distance; calories; smart bands
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Stamm, A.; Hartanto, R. Feature Extraction from MEMS Accelerometer and Motion Tracking Measurements in Comparison with Smart Bands during Running. Proceedings 2018, 2, 197.

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