Construction of equestrian trainer competency evaluation index system based on big data background

Abstract

A professional coaching team is an important factor in learning equestrian sports, and their competency level in the process of training and competition directly affects the achievement of the team's competition results. This paper uses research methods such as hierarchical analysis and mathematical statistics to construct an equestrian coaches' competency evaluation index system and determine the weights of each index based on theories related to equestrian coaches' competency characteristics, equestrian sport-specific characteristics and coaching characteristics. By proposing a quaternion-driven skeletal vectorized human motion reconstruction method, a mechanism model conforming to the kinematic characteristics of human body was established to realize the three-dimensional posture reconstruction of motion posture in the process of equestrian evaluation. The results show that the competency evaluation indexes of 5 primary indicators, 13 secondary indicators and 30 tertiary indicators can effectively evaluate equestrian coaches in a more detailed and comprehensive way. And the empirical analysis also verified that the detection of coach B was 0.515 in the first period and 0.785 at the end of the second period, which was consistent with the actual results. The competency evaluation index system of equestrian coaches proposed in this paper provides a reference basis for practical activities such as selection, employment and qualification of equestrian coaches, and promotes the improvement of Chinese equestrian competition level.