Estimation of foot trajectory during human walking by a wearable inertial measurement unit mounted to the foot
- PMID: 26979891
- DOI: 10.1016/j.gaitpost.2016.01.014
Estimation of foot trajectory during human walking by a wearable inertial measurement unit mounted to the foot
Abstract
To establish a supportive technology for reducing the risk of falling in older people, it is essential to clarify gait characteristics in elderly individuals that are possibly linked to the risk of falling during actual daily activities. In this study, we developed a system to monitor human gait in an outdoor environment using an inertial measurement unit consisting of a tri-axial accelerometer and tri-axial gyroscope. Step-by-step foot trajectories were estimated from the sensor unit attached to the dorsum of the foot. Specifically, stride length and foot clearance were calculated by integrating the gravity-compensated translational acceleration over time during the swing phase. Zero vertical velocity and displacement corrections were applied to obtain the final trajectory, assuming the slope of the walking surface is negligible. Short, normal, and long stride-length walking of 10 healthy participants was simultaneously measured using the proposed system and a conventional motion capture system to evaluate the accuracy of the estimated foot trajectory. Mean accuracy and precision were approximately 20 ± 50 mm, for stride length, and 2 ± 7 mm for foot clearance, indicating that the swing phase trajectory of the sensor unit attached to the foot was reconstructed more accurately and precisely using the proposed system than with previously published methods owing to the flat floor assumption. Although some methodological limitations certainly apply, this system will serve as a useful tool to monitor human walking during daily activities.
Keywords: Foot clearance; Gait analysis; Inertial sensor; Outdoor environment; Step length.
Copyright © 2016 Elsevier B.V. All rights reserved.
Similar articles
-
2D trajectory estimation during free walking using a tiptoe-mounted inertial sensor.J Biomech. 2015 Jul 16;48(10):2054-9. doi: 10.1016/j.jbiomech.2015.03.022. Epub 2015 Apr 2. J Biomech. 2015. PMID: 25907547
-
Prediction of foot clearance parameters as a precursor to forecasting the risk of tripping and falling.Hum Mov Sci. 2012 Apr;31(2):271-83. doi: 10.1016/j.humov.2010.07.009. Epub 2010 Oct 28. Hum Mov Sci. 2012. PMID: 21035220
-
Estimation of stride length in level walking using an inertial measurement unit attached to the foot: a validation of the zero velocity assumption during stance.J Biomech. 2011 Jul 7;44(10):1991-4. doi: 10.1016/j.jbiomech.2011.04.035. Epub 2011 May 23. J Biomech. 2011. PMID: 21601860
-
Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements.Gait Posture. 2018 Oct;66:76-82. doi: 10.1016/j.gaitpost.2018.08.025. Epub 2018 Aug 23. Gait Posture. 2018. PMID: 30170137
-
Shoe-Insole Technology for Injury Prevention in Walking.Sensors (Basel). 2018 May 8;18(5):1468. doi: 10.3390/s18051468. Sensors (Basel). 2018. PMID: 29738486 Free PMC article. Review.
Cited by
-
Reducing the foot trajectory variabilities during walking through vibratory stimulation of the plantar surface of the foot.Sci Rep. 2021 Mar 29;11(1):7125. doi: 10.1038/s41598-021-86583-7. Sci Rep. 2021. PMID: 33782523 Free PMC article.
-
Design of a Novel Wearable System for Foot Clearance Estimation.Sensors (Basel). 2021 Nov 26;21(23):7891. doi: 10.3390/s21237891. Sensors (Basel). 2021. PMID: 34883901 Free PMC article.
-
Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis.J Neuroeng Rehabil. 2020 May 11;17(1):62. doi: 10.1186/s12984-020-00685-3. J Neuroeng Rehabil. 2020. PMID: 32393301 Free PMC article.
-
Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters.Sensors (Basel). 2017 Jun 28;17(7):1522. doi: 10.3390/s17071522. Sensors (Basel). 2017. PMID: 28657587 Free PMC article.
-
Enhancing Intelligent Shoes with Gait Analysis: A Review on the Spatiotemporal Estimation Techniques.Sensors (Basel). 2024 Dec 10;24(24):7880. doi: 10.3390/s24247880. Sensors (Basel). 2024. PMID: 39771619 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical