070 - AERION EQUINE- Equestrian Computer Vision

Successful show jumping depends on the coordinated movement of horse and rider throughout the approach, takeoff, airborne, and landing phases, yet performance analysis remains largely dependent on visual observation and subjective assessment. This project investigates how computer vision can provide objective, measurable insights into horse-and-rider performance without requiring specialized motion-capture equipment or wearable sensors.

The system will use pose estimation, object tracking, and temporal motion analysis to extract performance metrics including horse speed and acceleration, stride patterns and consistency, takeoff distance, jump trajectory, and approach characteristics. Rider biomechanics will be analyzed through joint angles, posture, balance, symmetry, and movement timing relative to the horse. These features will be evaluated across individual jumps to identify biomechanical patterns and investigate their relationship with successful and unsuccessful jump outcomes.

The goal of Aerion Equine is to transform ordinary training and competition footage into meaningful biomechanical data for riders, coaches, and researchers. The project also aims to establish a foundation for further research into computer vision–based equestrian biomechanics, horse-rider coordination, and predictive analysis of show-jumping performance.