Wearable Intelligent Detection System for Large-Scale Applications

Wearable Intelligent Detection System for Large-Scale Applications | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Wearable Intelligent Detection System for Large-Scale Applications Lei Wang, Haozhe Yang, Juncai Ding, Jingjing Zhang, Xinyuan Liu, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6392445/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Wearable health monitoring systems face challenges such as low transmission efficiency, difficulties in concurrent device management, and insufficient data accuracy in large-scale applications. This study proposes an efficient transmission scheme based on TCP protocol and queue polling architecture. The system utilizes ESP8266 chips and LabVIEW software to construct a multi-device communication system, enabling parallel transmission of health data. To ensure data accuracy, a first-character verification mechanism is designed to filter abnormal data, while queue management optimizes the data processing workflow to enhance system concurrency and throughput‌. Experimental results demonstrate that the system maintains stable transmission performance even when multiple devices are connected, effectively reducing error rates and providing a reliable technical pathway for scalable applications of wearable devices‌. Physical sciences/Mathematics and computing/Information technology Physical sciences/Mathematics and computing/Scientific data Physical sciences/Mathematics and computing/Software Physical sciences/Mathematics and computing/Statistics Health sciences/Health care/Geriatrics Health sciences/Health care/Health services large-scale applications TCP protocol queue polling Full Text Additional Declarations No competing interests reported. Supplementary Files othertableandFig1013.xls TablPacketlossrateandFig16.xlsx testFig.1.png testFig.3.png testFig.5.png testFig.6.png testFig.4.png testFig.2.png Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6392445","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":452158731,"identity":"f0442a95-cae2-46e4-9cfb-7c79580158b3","order_by":0,"name":"Lei Wang","email":"","orcid":"","institution":"Hebei University of Architecture","correspondingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Wang","suffix":""},{"id":452158732,"identity":"97764a8c-563d-4657-b79d-a81ec59d3c75","order_by":1,"name":"Haozhe Yang","email":"","orcid":"","institution":"Hebei University of 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