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Predicting vertical ground reaction force during running using novel piezoresponsive sensors and accelerometry
Authors:Matthew K Seeley  Alyssa Evans-Pickett  Gavin Q Collins  James B Tracy  Noelle J Tuttle  Parker G Rosquist
Institution:1. Department of Exercise Sciences, Brigham Young University , Provo, UT, USA matt_seeley@byu.eduORCID Iconhttps://orcid.org/0000-0001-7414-3117;3. Department of Exercise Sciences, Brigham Young University , Provo, UT, USA ORCID Iconhttps://orcid.org/0000-0002-4370-7327;4. Department of Statistics, Brigham Young University , Provo, UT, USA ORCID Iconhttps://orcid.org/0000-0002-1805-3202;5. Department of Exercise Sciences, Brigham Young University , Provo, UT, USA ORCID Iconhttps://orcid.org/0000-0001-6095-9588;6. Department of Exercise Sciences, Brigham Young University , Provo, UT, USA ORCID Iconhttps://orcid.org/0000-0002-4390-3985;7. Department of Mechanical Engineering, Brigham Young University , Provo, UT, USA ORCID Iconhttps://orcid.org/0000-0001-9248-7466
Abstract:ABSTRACT

Running is a common exercise with numerous health benefits. Vertical ground reaction force (vGRF) influences running injury risk and running performance. Measurement of vGRF during running is now primarily constrained to a laboratory setting. The purpose of this study was to evaluate a new approach to measuring vGRF during running. This approach can be used outside of the laboratory and involves running shoes instrumented with novel piezoresponsive sensors and a standard accelerometer. Thirty-one individuals ran at three different speeds on a force-instrumented treadmill while wearing the instrumented running shoes. vGRF was predicted using data collected from the instrumented shoes, and predicted vGRF were compared to vGRF measured via the treadmill. Per cent error of the resulting predictions varied depending upon the predicted vGRF characteristic. Per cent error was relatively low for predicted vGRF impulse (2–7%), active peak vGRF (3–7%), and ground contact time (3–6%), but relatively high for predicted vGRF load rates (22–29%). These errors should decrease with future iterations of the instrumented shoes and collection of additional data from a more diverse sample. The novel technology described herein might become a feasible way to collect large amounts of vGRF data outside of the traditional biomechanics laboratory.
Keywords:Wearables  Gait  biomechanics
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