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Related Experiment Video

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Gait features analysis using artificial neural networks - testing the footwear effect.

Jikun Wang1, Teresa Zielińska1

  • 1Faculty of Power and Aeronautical Engineering, Warsaw University of Technology, Warsaw, Poland.

Acta of Bioengineering and Biomechanics
|May 30, 2017
PubMed
Summary

This study introduces a method using artificial neural networks to automatically detect gait changes caused by footwear. The findings reveal how different shoe types influence muscle activity and leg movement.

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Area of Science:

  • Biomechanics
  • Computational Neuroscience
  • Sports Science

Background:

  • Footwear significantly impacts human locomotion and biomechanics.
  • Understanding gait variations due to footwear is crucial for injury prevention and performance enhancement.
  • Existing methods for gait analysis often lack automated detection of footwear-specific changes.

Purpose of the Study:

  • To develop an automated method for detecting gait feature differences attributed to footwear.
  • To analyze the influence of various footwear types on gait parameters.
  • To establish a link between footwear characteristics and neuromuscular responses.

Main Methods:

  • Utilized artificial neural networks, specifically Learning Vector Quantization (LVQ) and competitive clustering networks.
  • Collected gait data from participants walking in different footwear conditions.
  • Analyzed electromyography (EMG) signals and leg joint trajectory data (velocities, accelerations).

Main Results:

  • Neural networks successfully classified and clustered gait patterns associated with different footwear.
  • Identified key gait features influenced by footwear using comparative analysis of joint trajectories.
  • Quantified the relationship between specific footwear and muscle activation patterns.

Conclusions:

  • Validated the accuracy of neural network-based gait analysis against experimental joint trajectory data.
  • Determined which muscles are most affected by changes in footwear.
  • Concluded a direct relationship between footwear type and the workload of specific muscles.