Coordination dynamics in horse-rider dyads.

Area of Science:

• Biomechanics
• Equine Science
• Human-Animal Interaction

Background:

• Equestrianism relies on horse-rider interaction, but objective measures of coordination across gaits are lacking.
• Understanding horse-rider movement dynamics is crucial for performance and safety in equestrian sports.

Purpose of the Study:

• To investigate and describe motor coordination patterns between horses and riders during different equine gaits using accelerometers.
• To establish baseline parameters for horse-rider coordination dynamics.

Main Methods:

• Utilized two tri-axial wireless accelerometers to record horse-rider coordination in 18 Dutch horse-rider combinations.
• Analyzed kinematic variables including correlation, relative phase, and approximate entropy to quantify synchronicity and unpredictability.
• Employed correlational analyses and multivariate analysis of variance (MANOVA) to examine coordination dynamics across gaits (walk, trot, canter).

Main Results:

• Significant differences in coordination dynamics were observed across equine gaits.
• The canter gait demonstrated the highest levels of horse-rider synchronicity.
• Approximate entropy analysis revealed distinct patterns of movement unpredictability between horse and rider.

Conclusions:

• Accelerometers provide a valuable tool for objectively measuring and mapping distinct horse-rider coordination patterns.
• Findings highlight the potential for using objective biomechanical data to understand and potentially improve equestrian performance and training.
• The study establishes a foundation for future research into the complex dynamics of human-equine partnerships.