Design of Intelligent Evaluation System for Badminton Teaching

The current application of big data has been highlighted for physical teaching as big data can be used to develop targeted teaching programs. By collecting the sports data such as students’ sports characteristics, habits, and relevant information, the use of big data improves teaching results. In the teaching process, teachers collect students’ daily training data to formulate targeted teaching plans and clarify specific teaching ideas and strategies to enhance the teaching effects. In this context, we proposed the design mechanism of the intelligent evaluation system in badminton teaching. We first analyzed the identification process of badminton swing action, then proposed the data collection method of badminton swing action, and finally put forward the design framework of the intelligent evaluation system of swing actions. The results of this study include the demand analysis result, design mechanism, and the design scheme of the action recognition module.