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Journal of the Royal Society, Interface2008; 6(33); 335-342; doi: 10.1098/rsif.2008.0238

Walk-run classification of symmetrical gaits in the horse: a multidimensional approach.

Abstract: Walking and running are two mechanisms for minimizing energy expenditure during terrestrial locomotion. Duty factor, dimensionless speed, existence of an aerial phase, percentage recovery (PR) or phase shift of mechanical energy and shape of the vertical ground reaction force profile have been used to discriminate between walking and running. Although these criteria work well for the classification of most quadrupedal gaits, they result in conflicting evidence for some gaits, such as the tölt (a symmetrical, four-beat gait used by Icelandic horses). We use established pattern recognition methods to test the hypothesis that the tölt is a running gait based on an automated and optimized decision drawn from four features (dimensionless speed, duty factor, length of aerial phase and PR for over 6000 strides from four symmetrical gaits in seven Icelandic horses) simultaneously. We compare this decision with the use of each of these features in isolation. Sensitivity and specificity values were used to determine optimal thresholds for classifying tölt strides based on each feature separately. Duty factor and dimensionless speed indicate that tölt is more similar to running, while aerial phase and PR indicate that it is more similar to walking. Then, two multidimensional pattern recognition approaches, multivariate Gaussian densities and linear discriminant analysis, were used and it was shown that, in terms of stochastic multidimensional discrimination, tölt is more similar to 'running'. The approaches presented here have potential to be extended to studies on similar 'ambling' gaits in other quadrupeds.
Publication Date: 2008-07-29 PubMed ID: 18664427PubMed Central: PMC2658658DOI: 10.1098/rsif.2008.0238Google Scholar: Lookup
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  • Journal Article
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  • Non-U.S. Gov't

Summary

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The research aims to classify the tölt, a special gait used by Icelandic horses, as either walking or running through a multidimensional pattern recognition technique. The findings suggest that the tölt is more akin to running based on combined features of duty factor, dimensionless speed, length of aerial phase, and percentage recovery.

Understanding the Study

  • The paper discusses terrestrial locomotion in animals, more specifically quadrupeds. The primary movements are walking and running, and these movements have evolved to minimize energy expenditure. The researchers focus on horses, particularly Icelandic horses, and they aim to classify a specific symmetrical gait, the tölt.
  • In order to approach this classification more holistically, they used established pattern recognition methods with an optimized decision drawn from four variables: dimensionless speed, duty factor, length of aerial phase, and percentage recovery (PR). The analysis was conducted on over 6000 strides from seven Icelandic horses.
  • The use of multivariate tools allows for a comprehensive and accurate categorization, as opposed to using each feature as a separate entity.

Key Elements and Findings

  • The research relies primarily on four crucial features to classify gaits: dimensionless speed, duty factor, length of the aerial phase, and PR. Duty factor and dimensionless speed were found to associate the tölt gait more with running. The aerial phase and PR, however, aligned it more with walking.
  • This issue was resolved by using two multidimensional pattern recognition methods: multivariate Gaussian densities and linear discriminant analysis. By employing these methods, researchers found that in the context of multidimensional discrimination, the tölt gait is more similar to running.
  • The paper concludes with potential applications of their findings. The multidimensional pattern classification approach could be extended to studying similar ‘ambling’ gaits in other quadrupeds. This would provide a comprehensive evaluation system for analyzing various locomotion styles in animals.

Implications and Potential Applications

  • The idea is that such research can go beyond just understanding animal locomotion— it can also contribute to the study of biomechanics, energy expenditure, evolution, and potentially help in veterinary care and practices.
  • The methodologies used could also be adapted to studies in other fields that require multidimensional pattern recognition, for example, in the investigation of patterns in data science, AI, and machine learning applications.

Cite This Article

APA
Starke SD, Robilliard JJ, Weller R, Wilson AM, Pfau T. (2008). Walk-run classification of symmetrical gaits in the horse: a multidimensional approach. J R Soc Interface, 6(33), 335-342. https://doi.org/10.1098/rsif.2008.0238

Publication

ISSN: 1742-5689
NlmUniqueID: 101217269
Country: England
Language: English
Volume: 6
Issue: 33
Pages: 335-342

Researcher Affiliations

Starke, Sandra D
  • Department of Veterinary Basic Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
Robilliard, Justine J
    Weller, Renate
      Wilson, Alan M
        Pfau, Thilo

          MeSH Terms

          • Animals
          • Biomechanical Phenomena
          • Discriminant Analysis
          • Gait / physiology
          • Horses / physiology

          Grant Funding

          • S20242 / Biotechnology and Biological Sciences Research Council

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