Lightweight 3D Human Pose Estimation and Visualization System Using Encoding-Decoding BlazePose+SYS

Lightweight 3D Human Pose Estimation and Visualization System Using Encoding-Decoding BlazePose+SYS | 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 Research Article Lightweight 3D Human Pose Estimation and Visualization System Using Encoding-Decoding BlazePose+SYS Hui Liu, HuLing Li, Yiliyasi Aboduaini, Dandan Tang, Jiaqi Wang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5350147/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 Human pose estimation (HPE) is a fundamental problem in computer vision, aiming to obtain the spatial coordinates of human joints from images or videos. Despite significant progress, traditional methods often struggle with real-time performance due to their computational complexity. In this paper, we propose a lightweight 3D human pose estimation and visualization system based on the BlazePose+SYS model, which employs an encoding-decoding architecture. Our system can detect human key points and reconstruct 3D human poses in real-time, providing high-precision and real-time solutions for various applications such as action recognition, virtual reality, and sports training. By discarding the heatmap branch during inference, our model achieves lightweight performance suitable for mobile devices and edge computing environments. Experimental results on public datasets demonstrate the effectiveness and accuracy of our system in real-time human pose estimation tasks. This work contributes to advancing the field of HPE by providing a practical and efficient solution. Human pose estimation Deep learning BlazePose++ Key point detection Lightweight Full Text Additional Declarations No competing interests reported. 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-5350147","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":371614996,"identity":"d902e66e-4e2a-4afc-8235-db63d4500031","order_by":0,"name":"Hui Liu","email":"","orcid":"","institution":"Xinjiang Medical University","correspondingAuthor":false,"prefix":"","firstName":"Hui","middleName":"","lastName":"Liu","suffix":""},{"id":371614997,"identity":"a49d289a-3e9d-48de-aa86-789dcbf0788d","order_by":1,"name":"HuLing Li","email":"","orcid":"","institution":"Xinjiang Medical University","correspondingAuthor":false,"prefix":"","firstName":"HuLing","middleName":"","lastName":"Li","suffix":""},{"id":371614998,"identity":"fada103e-593c-47e3-af7f-aad4b27144a8","order_by":2,"name":"Yiliyasi Aboduaini","email":"","orcid":"","institution":"Xinjiang Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yiliyasi","middleName":"","lastName":"Aboduaini","suffix":""},{"id":371614999,"identity":"fa94b399-2ad8-4079-834e-311fda856e4f","order_by":3,"name":"Dandan Tang","email":"","orcid":"","institution":"Xinjiang Medical University","correspondingAuthor":false,"prefix":"","firstName":"Dandan","middleName":"","lastName":"Tang","suffix":""},{"id":371615000,"identity":"8924ac1a-0fb8-4cbe-9344-89d9f77481b0","order_by":4,"name":"Jiaqi Wang","email":"","orcid":"","institution":"Jilin University","correspondingAuthor":false,"prefix":"","firstName":"Jiaqi","middleName":"","lastName":"Wang","suffix":""},{"id":371615001,"identity":"a92f034d-0df1-4a61-9e4c-e869b630d472","order_by":5,"name":"Gan Sen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIiWNgGAWjYBAC/gYG5g8MDDYMjA0gLhsRWiQOMLBJMDCkkaDFAKLsMJRLlBb2s8cYPu44n9g87YwBw4eywwz8sxsIaOHJS/4488xtY8bZOQaMM84dZpC4cwC/FsMDOQbSvG235UBamHnbDjMYSCQQsOX8GwPpv23neMBa/hKl5QbQFsa2AxBbGInRInHjjZlkb1sy0C9pBQd7zqXzSNwgoIW/P8f4w882u8SNs5M3PvhRZi3HP4OAFjgwbGBgOACkeYhUDwTyxCsdBaNgFIyCkQYA1UZDTUkcQvEAAAAASUVORK5CYII=","orcid":"","institution":"Xinjiang Medical University","correspondingAuthor":true,"prefix":"","firstName":"Gan","middleName":"","lastName":"Sen","suffix":""}],"badges":[],"createdAt":"2024-10-29 01:23:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5350147/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5350147/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71745180,"identity":"9a4eacec-9ccd-4128-a6ed-835187d0dc5e","added_by":"auto","created_at":"2024-12-18 08:47:24","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1049591,"visible":true,"origin":"","legend":"","description":"","filename":"Lightweight3DHumanPoseEstimationandVisualizationSystemUsingEncodingDecodingBlazePoseSYS1024F.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5350147/v1_covered_f53273d8-c202-4815-b290-337a5c2f10a7.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Lightweight 3D Human Pose Estimation and Visualization System Using Encoding-Decoding BlazePose+SYS","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Human pose estimation, Deep learning, BlazePose++, Key point detection, Lightweight","lastPublishedDoi":"10.21203/rs.3.rs-5350147/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5350147/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eHuman pose estimation (HPE) is a fundamental problem in computer vision, aiming to obtain the spatial coordinates of human joints from images or videos. 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