The Value of Wearable Sensors in Swimming Flexibility Training under the Background of the Internet of Things

Abstract

Flexibility training in swimming is a key to improving the flexibility index of athletes. In this era of rapid development of IoT technology, it is necessary to combine the Internet of Things technology with the application of wearable sensors in swimming flexibility training. This article is to study the value of wearable sensors in swimming flexibility training under the background of the Internet of Things. In this paper, by combining the interconnected nature of the Internet of Things technology, choosing Apache MINA and the XStream library platform to construct the Internet of Things system, combined with the data measurement characteristics of wearable sensors, an improved strategy is analyzed by measuring various indicators in the flexibility training of swimmers and through the movement interference removal combined with the adaptive algorithm to reduce the energy consumption in flexibility training. In this paper, two sets of flexibility training experiments of static stretching and dynamic stretching are designed. In the experiment, the flexibility index and energy consumption of athletes are received through the wearable sensor of the Internet of Things, and finally, the new improved strategy is analyzed through the received data. And this article also designed a set of control experiments. The experiment shows that wearing IoT wearable sensors can improve the flexibility index of swimmers up to 20.41, while the highest is 15.53 without wearing them.