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      Using Wireless Sensor Network to Correct Posture in Sports Training Based on Hidden Markov Matching Algorithm

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      Journal of Sensors
      Hindawi Limited

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          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.

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          Uniqueness of weak solutions to a Keller–Segel–Navier–Stokes system

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            A PSO based energy efficient coverage control algorithm for wireless sensor networks

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              Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs

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                Author and article information

                Contributors
                Journal
                Journal of Sensors
                Journal of Sensors
                Hindawi Limited
                1687-7268
                1687-725X
                September 20 2021
                September 20 2021
                : 2021
                : 1-11
                Affiliations
                [1 ]Depatrment of Sports, Huanghe Jiaotong University, Jiaozuo, Henan 454950, China
                Article
                10.1155/2021/2159181
                bcf3b42e-ec79-4ee3-9bc5-861c66e795d4
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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