Wearable Devices based on Wireless Sensor Network and Speech Synchronization Overlay Algorithm Application in Sports Training Data Simulation

With the rapid development of Internet of Things technology, the application of wireless sensor network in sports training has been paid more and more attention. As an important tool for data acquisition and monitoring, wearable devices can obtain athletes' training data in real time, providing new opportunities for the analysis and improvement of sports performance. This paper aims to explore the application of wearable devices based on wireless sensor network and voice synchronization overlay algorithm in the simulation of sports training data, aiming to improve the accuracy and real-time performance of data acquisition, and then optimize the effect of sports training. A wearable device that integrates wireless sensor network and voice processing technology is designed to collect physiological and sports data of athletes by various sensors. At the same time, the voice synchronization overlay algorithm is used to process the collected data in real time and improve the data analysis ability. By simulating the training environment, the data performance of the system in different motion scenarios is evaluated. The experimental results show that the wearable device can effectively collect the physiological data of athletes during training, including heart rate, step frequency and movement trajectory, etc., and the data processing delay is significantly reduced through the voice synchronization overlay algorithm. The system shows good stability and reliability under different training modes.