Exploration of badminton teaching reform and development ideas in colleges and universities under the background of big data

Intelligent wearable devices effectively collect real-time data and physiological indicators of students performing badminton sports activities through the functions of collecting, organizing, and analyzing mobile big data. Meanwhile, the SVM classification algorithm based on data fusion theory is proposed to realize the collection and monitoring of human posture and other signals. The smart wearable device is used as an auxiliary teaching means to help students quickly master basic movement skills, and a 32-credit-hour teaching experiment is conducted to compare and analyze the effect of its teaching impact. It was analyzed that the physical quality and basic skills of hairball of the two groups of students before the experiment were basically similar (P>0.05). The mean values of badminton long-throw movement of the experimental group before the experiment and after the experiment were 4.72 and 5.73, respectively, and showed a significant difference (P