{"title":"基于可穿戴设备和无线传感器网络(WSN)的户外运动数据监测方案","authors":"Lu Jiaxin, Liu Xinmin, Wang Qiurong","doi":"10.1007/s11036-024-02362-4","DOIUrl":null,"url":null,"abstract":"<p>With the rapid development of computer hardware, its size continues to shrink, but its price continues to decrease, driving the vigorous development of wearable devices. Among them, wearable devices have enormous application prospects in medical diagnosis and military reconnaissance. With the continuous diversification and miniaturization of sensors, wearable devices are also emerging endlessly. This article proposes a wearable motion recognition device and studies a series of motion recognition algorithms for inertial signals based on this device. Wearable motion recognition devices combined with optical devices are used for non-invasive monitoring and analysis of athletes' body dynamics, obtaining high-definition video images, and real-time tracking of athletes' position and movement trajectory through the analysis of video images. This article analyzes and organizes experimental data to obtain relevant data on outdoor sports monitored by the system. The monitoring results show that the monitoring system in this article has advantages such as portability, ease of operation, and practicality, which can meet the needs of outdoor sports teams for data monitoring during training in different venues. In the practical application of this monitoring system, coaches can effectively analyze and organize the current data, thereby improving the work efficiency of coaches and the technical and tactical level of outdoor athletes.</p>","PeriodicalId":501103,"journal":{"name":"Mobile Networks and Applications","volume":"80 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Outdoor Sports Data Monitoring Scheme Based on Wearable Devices and Wireless Sensor Networks (WSNs)\",\"authors\":\"Lu Jiaxin, Liu Xinmin, Wang Qiurong\",\"doi\":\"10.1007/s11036-024-02362-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>With the rapid development of computer hardware, its size continues to shrink, but its price continues to decrease, driving the vigorous development of wearable devices. Among them, wearable devices have enormous application prospects in medical diagnosis and military reconnaissance. With the continuous diversification and miniaturization of sensors, wearable devices are also emerging endlessly. This article proposes a wearable motion recognition device and studies a series of motion recognition algorithms for inertial signals based on this device. Wearable motion recognition devices combined with optical devices are used for non-invasive monitoring and analysis of athletes' body dynamics, obtaining high-definition video images, and real-time tracking of athletes' position and movement trajectory through the analysis of video images. This article analyzes and organizes experimental data to obtain relevant data on outdoor sports monitored by the system. The monitoring results show that the monitoring system in this article has advantages such as portability, ease of operation, and practicality, which can meet the needs of outdoor sports teams for data monitoring during training in different venues. In the practical application of this monitoring system, coaches can effectively analyze and organize the current data, thereby improving the work efficiency of coaches and the technical and tactical level of outdoor athletes.</p>\",\"PeriodicalId\":501103,\"journal\":{\"name\":\"Mobile Networks and Applications\",\"volume\":\"80 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mobile Networks and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11036-024-02362-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mobile Networks and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11036-024-02362-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Outdoor Sports Data Monitoring Scheme Based on Wearable Devices and Wireless Sensor Networks (WSNs)
With the rapid development of computer hardware, its size continues to shrink, but its price continues to decrease, driving the vigorous development of wearable devices. Among them, wearable devices have enormous application prospects in medical diagnosis and military reconnaissance. With the continuous diversification and miniaturization of sensors, wearable devices are also emerging endlessly. This article proposes a wearable motion recognition device and studies a series of motion recognition algorithms for inertial signals based on this device. Wearable motion recognition devices combined with optical devices are used for non-invasive monitoring and analysis of athletes' body dynamics, obtaining high-definition video images, and real-time tracking of athletes' position and movement trajectory through the analysis of video images. This article analyzes and organizes experimental data to obtain relevant data on outdoor sports monitored by the system. The monitoring results show that the monitoring system in this article has advantages such as portability, ease of operation, and practicality, which can meet the needs of outdoor sports teams for data monitoring during training in different venues. In the practical application of this monitoring system, coaches can effectively analyze and organize the current data, thereby improving the work efficiency of coaches and the technical and tactical level of outdoor athletes.