Gait characterisation and classification in horses.

The research article aims to characterize and classify the gaits of horses, based on foot-fall patterns, using specific experimental techniques. The study examined all four limbs of certain horses, and through linear discriminant analysis (LDA), determined optimal criteria for identifying different gaits.

Study Summary

The paper examined the gaits of horses, specifically Icelandic horses, aiming to create a system that classifies symmetric and asymmetric gaits using the same criterion. To do this, the researchers analyzed the footfall pattern of all four limbs of the horses.

Methodology

• Eight Icelandic horses were chosen for the study. The speed and relative footfall timings of all their limbs were recorded using accelerometers.
• The researchers then used Linear Discriminant Analysis (LDA) to discern criteria that effectively distinguished between different gaits.
• They further used LDA to evaluate whether gaits should be considered as a continuum or as discrete entities.

Findings

• Footfall timings (the periods of stance, swing, duty factors, and stride frequencies) for various gaits including walk, tolt, trot, pace, left canter, right canter, left gallop, and right gallop during ground locomotion at varying speeds were noted.
• Gaits were seen as either symmetrical (such as walk, tolt, trot, and pace where footfall timings were equal between left and right hindlimbs and forelimbs) or asymmetrical.
• Interestingly, differences in stance times and duty factors existed between gaits but seemed unimportant biologically due to their similar magnitude and inconsistent relative trends.
• The results suggested that factors like metabolics or peak limb forces resulting from contact times might not be the main determinants in gait transitions between walk, trot, pace, canter, and gallop.
• In the LDA space, the gaits were clustered together, with running gaits being considered a kinematic continuum. The relationship with the walk appeared more complex, however.

Conclusions

Through using LDA, the researchers were able to discern common criteria suitable for accurately classifying horse gaits based on footfall timings on a stride-by-stride basis. This work can contribute to a better understanding of how horses move and could have implications for equine health and performance studies.