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A method for deriving displacement data during cyclical movement using an inertial sensor.

Thilo Pfau1, Thomas H Witte, Alan M Wilson

  • 1Structure and Motion Laboratory, The Royal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, UK. tpfau@rvc.ac.uk

The Journal of Experimental Biology
|June 18, 2005
PubMed
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This study introduces a new method using inertial sensors for measuring animal locomotion outside the lab. The validated approach accurately determines linear displacements during cyclical movements like a horse

Area of Science:

  • Biomechanics
  • Animal Locomotion Analysis
  • Sensor Technology

Background:

  • Optical motion capture systems are standard for biomechanical analysis but have limitations in locomotion studies and outdoor experiments.
  • Inertial sensing offers a portable solution, but accurately determining position from acceleration data is challenging due to integration errors and orientation determination.

Purpose of the Study:

  • To develop and evaluate a novel approach for determining linear displacements using a modified commercial orientation sensor during cyclical movements.
  • To enable biomechanical studies of locomotion outside laboratory settings, such as over-ground locomotion in animals.

Main Methods:

  • A modified commercial inertial orientation sensor (combining accelerometers, gyroscopes, and magnetometers) was used to capture full movement parameters.

Related Experiment Videos

  • The sensor was attached to a horse's spine during treadmill exercise at a canter (9.0 m/s).
  • High-pass filtering was applied to displacement data to separate cyclical and non-cyclical movement components.

    • Main Results:

    • The sensor successfully measured trunk movement amplitudes during canter locomotion: 99.6 mm (craniocaudal), 57.9 mm (mediolateral), and 140.2 mm (dorsoventral).
    • Median errors between sensor displacement and optical motion capture were low: 0.1 mm (x), -3.8 mm (y), and -0.1 mm (z).
    • High-pass filtering significantly reduced interquartile ranges of errors to (-3.6, 6.2) mm (x), (-4.0, 3.8) mm (y), and (-4.5, 5.1) mm (z).

    Conclusions:

    • The developed method accurately determines linear displacements during cyclical movements, overcoming limitations of traditional motion capture systems.
    • This approach facilitates outdoor and over-ground biomechanical studies of locomotion, offering a practical alternative for measuring mechanical energy fluctuations.