Intelligent Data Collection and Analysis of Sports Heart Rate Detection Equipment: from SVM to KSVM

Inspired by the novel kernel analysis, this paper integrates the SVM to design the intelligent data collection and analysis of sports heart rate detection equipment. Data mining processing technology is a process of instinctively searching for the special relationship between the hidden data from the large amount of accumulated data collected by ourselves. Considering this basic function, the IPM is considered as the core model. Based on the random subset summation method, this paper constructs a new summary structure for the data flow in a single window, and proposes an algorithm to solve the query problem and then apply into the scenario of sports heart rate detection equipment. Through the testing on the performance, the model's robustness is validated.