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Related Experiment Video

Updated: Jan 21, 2026

Evaluating the Function of the Foot Core System in the Elderly
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Using A Soft Conformable Foot Sensor to Measure Changes in Foot Strike Angle During Running.

Herman van Werkhoven1, Kathryn A Farina2,3, Mark H Langley2

  • 1Department of Health and Exercise Science, Appalachian State University, Boone, NC 28608, USA. vanwerkhovenh@appstate.edu.

Sports (Basel, Switzerland)
|August 1, 2019
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Summary

A new, thin inertial measurement unit (IMU) sensor accurately identifies running foot strike patterns. This wearable technology shows promise for analyzing running biomechanics outside the lab, aiding performance and injury prevention.

Keywords:
foot strike patterninertial measurement unitrunningsensor

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Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Accurate running foot strike analysis is crucial for understanding performance and injury risks.
  • Current methods using inertial measurement units (IMUs) often involve rigid sensors attached to shoes, limiting natural movement.
  • There is a need for unobtrusive, reliable IMU-based methods to assess foot strike patterns in real-world running conditions.

Purpose of the Study:

  • To validate a novel, thin, and conformable inertial measurement unit (IMU) sensor placed on the dorsal foot.
  • To assess the sensor's ability to accurately determine foot strike angles and patterns during running.
  • To compare the sensor's data with traditional 2D videography analysis.

Main Methods:

  • Twelve participants ran on a treadmill, performing various foot strike patterns.
  • Data were collected using a thin, conformable IMU sensor placed on the dorsal foot and simultaneous 2D videography.
  • Sensor-derived data were compared against videography-based analysis to determine accuracy and correlation.

Main Results:

  • The conformable IMU sensor achieved 92.2% accuracy in distinguishing between rearfoot and non-rearfoot strikes.
  • A strong, significant positive correlation (r = 0.868, p < 0.001) was found between sensor-based and videography-based foot strike angles.
  • Linear regression indicated a slight underestimation of foot strike angle by the sensor.

Conclusions:

  • Thin, conformable IMU sensors placed directly on the skin show high accuracy for quantifying running foot strike patterns.
  • This technology offers a promising, less restrictive alternative for in-field biomechanical analysis.
  • Further research into skin-mounted sensors is recommended for improved human dynamics tracking.