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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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Ambulatory running speed estimation using an inertial sensor.

Shuozhi Yang1, Chris Mohr, Qingguo Li

  • 1Department of Mechanical and Materials Engineering, Queen's University, Kingston, ON, Canada.

Gait & Posture
|August 3, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a new algorithm to estimate running speed using a single shank-mounted inertial measurement unit (IMU). This portable system accurately measures stride-by-stride speed, promising for outdoor running gait analysis.

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Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Analyzing walking gait with inertial measurement units (IMUs) is established.
  • Fewer studies have applied IMU data to analyze running gait dynamics.

Purpose of the Study:

  • To develop an algorithm for estimating running speed.
  • Utilize data from a single shank-mounted IMU for gait analysis.

Main Methods:

  • Recorded acceleration and angular velocity from a shank-mounted IMU.
  • Segmented running sequences into strides using shank vertical and minimal velocity events.
  • Calculated running speed by integrating acceleration data after determining shank orientation.

Main Results:

  • Verified the algorithm with seven volunteers running on a treadmill (2.50 m/s to 3.50 m/s).
  • Achieved a percentage root mean square error (%RMSE) of approximately 4.10% across the speed range.

Conclusions:

  • The developed algorithm accurately estimates running speed using a single IMU.
  • The system's portability and accuracy show promise for outdoor running gait analysis.