Broncodering

Broncodering is a term used in rodeo analytics to describe the real-time and post-hoc analysis of bronco riding dynamics. The discipline blends biomechanics, sensor technology, and artificial intelligence to quantify the interaction between rider and bronco and to assess performance and safety.

Origin and usage: The term emerged in the late 2010s among researchers and coaching staff working with rodeo organizations. It draws on bronco riding as a domain where rider stability, animal motion, and equipment interface interact in complex ways.

Methods: Data are collected with wearable sensors on riders (accelerometers, gyroscopes), on equipment (saddle position sensors, stirrup sensors), and cameras for motion capture. Algorithms derive metrics such as ride duration, peak angular velocity, trunk stability, bucking intensity, and grip force.

Applications and issues: Used for training optimization, athlete safety, and welfare assessment, as well as for equipment design. Critics raise concerns about animal welfare, data privacy, and the risk of over-quantification of performance. Regulatory bodies may require guidelines for data collection.