The invention discloses an equestrian competition
performance prediction system based on multi-
modal monitoring, and relates to the technical field of equestrian sport monitoring and intelligent prediction. The
system comprises an acquisition module, a
processing module, a prediction module, a display module and a data closed-
loop optimization mechanism. The acquisition module is used for acquiring horse video and physiological and environmental multi-
modal data through multiple types of equipment; the
processing module is used for realizing data fusion
processing,
gait behavior recognition and
facial expression emotion evaluation; the prediction module outputs a competitive performance quantitative
score and risk early warning based on a
machine learning model; the display module provides a
visual interaction interface; and the data closed-
loop optimization mechanism realizes model iterative optimization through competition result return. According to the method, the problems of single monitoring dimension,
data splitting, lack of prediction capability and the like in the prior art are solved, comprehensive
perception of horse states and accurate prediction of competitive performance are realized, the scientific level of training management is improved, and the method has wide practical prospects and industrialization values.