Abstract

This paper combines the research of wireless sensor networks and sports training and proposes a wireless sensor network-based intelligent sports training system. According to the requirements of the system, this design uses the wireless sensor network system as the platform for development and the ZigBee module for wireless communication. The advantage of this system is to transmit the obtained information to the ZigBee coordinator module, and after the processing of information and the resultant decision, a nonwearable unmonitored motion training model based on visual sensing is proposed. The motion terminal collects video data streams of user motion actions and extracts features to establish HMM motion recognition algorithm to achieve recognition of motion actions, automatic counting, and intelligent scoring functions. The template matching algorithm based on dynamic time regularization and weighted Euclidean distance realizes a universal real-time motion recognition algorithm with high standard and low latency and can guide the user’s motion action based on similarity calculation. The intelligent sports training system is designed and developed to maintain a high-quality human-computer interaction experience with a real-time feedback client and uploads sports data to a cloud server via the HTTP protocol, which supports real-time sports proximity query and training plan development on the website. After practical application tests, the intelligent sports training system based on the wireless sensor network proposed in this paper is stable and reliable and adds fun and competitiveness to boring sports. The research of this paper has some reference value for the application of wireless sensor networks and the research of the motion recognition algorithm.

Highlights

  • The main task of wireless sensor networks is target monitoring and data collection and sending it to the observer

  • In wireless sensor networks, the quality of the sensed data is an important key factor in the performance of the network, which reflects the actual state of the monitored objects [1]

  • The wireless sensing module is the basic part of wireless sensor technology and embedded technology, intelligent sensors, wireless information communication technology, wireless Internet technology, and distributed data processing technology, and it is the main direction of modern development

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Summary

Introduction

The main task of wireless sensor networks is target monitoring and data collection and sending it to the observer. This process involves the analysis and evaluation of data to facilitate real-time, efficient, and accurate decision-making by decision-makers. There are many important basic technologies widely promoted and practically applied, and the speed of wireless network information communication is developing rapidly [2]. The second chapter is an introduction to related work, focusing on an overview of the implementation of intelligent sports training systems and wireless sensor network application technology, analyzing the current research status and treating it as the basic theoretical foundation for exploration. The fifth chapter is the summary and outlook, mainly summarizing the research work carried out in the full text and looking forward to the details and perfection of the system

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