AI Fitness Coach at Home using Image Recognition

AI Fitness Coach at Home using Image Recognition | 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 AI Fitness Coach at Home using Image Recognition Haoran Ji, Karungaru Stephen Githinji, Terada Kenji This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2047283/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Aug, 2023 Read the published version in International Journal of Human Movement and Sports Sciences → Version 1 posted You are reading this latest preprint version Abstract Recently the number of people exercising at home has increased especially due to the COVID19 pandemic. Therefore, the need for no contact exercise instructions is in great demand since physical access to the gym is limited or discouraged. To meet this demand, many online exercise instruction videos are available. However, the systems are both passive and have no real time feedback to aid the user. In this work,we propose an AI based fitness monitoring system (AI Fitness Coach) that can offer real time guidance during exercise. The AI Fitness Coach, consists of a pose recognition unit, a fitness movement analysis unit, and a feedback unit. The user captures their pose by a fixed camera. The pose recognition unit processes the captured image and outputs the recognition result to the fitness movement analysis unit. After the results are processed by the fitness movement analysis unit, advice is output from the device through video or voice. On comparison to existing methods, the proposed method results are at par and encouraging. Image Processing Deep learning Body Recognition Full Text Supplementary Files bio.pdf Cite Share Download PDF Status: Published Journal Publication published 01 Aug, 2023 Read the published version in International Journal of Human Movement and Sports Sciences → 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-2047283","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":139753754,"identity":"c9918d46-9f3a-4fa5-80f3-3ae830f5f0e0","order_by":0,"name":"Haoran Ji","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAz0lEQVRIiWNgGAWjYLCCBJ4aHn4wo4BYLR9kjslJNoC0GBCpg3GGDbOxwQEQkxgt5u1nDz7myWFL3Hx+deKHBwYM8vxiB/BrkTmTl2zMc0YmcduNt5slgA4znDk7Ab8WCYYcM2neHjaglrMbQFoSDG4T0sL/xvw37z/mxM0zzm7+QZwWiRwzxhk8QO/z924j0haJN8YSH3iOyUnc4N1mkWAgQYRf+HMMP4Cjsv/s5ps/Kmzk+aUJaEHSDFYpQaxyEOA/QIrqUTAKRsEoGEkAAN1mQU3+4y95AAAAAElFTkSuQmCC","orcid":"","institution":"University of Tokushima: Tokushima Daigaku","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Haoran","middleName":"","lastName":"Ji","suffix":""},{"id":139753755,"identity":"874c4f47-1e84-4b05-8d2f-50d4e2d72684","order_by":1,"name":"Karungaru Stephen Githinji","email":"","orcid":"","institution":"University of Tokushima: Tokushima Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Karungaru","middleName":"Stephen","lastName":"Githinji","suffix":""},{"id":139753756,"identity":"fd7d3fc4-781e-4184-b9cd-d58fab1a134e","order_by":2,"name":"Terada Kenji","email":"","orcid":"","institution":"University of Tokushima: Tokushima Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Terada","middleName":"","lastName":"Kenji","suffix":""}],"badges":[],"createdAt":"2022-09-09 03:52:10","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-2047283/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2047283/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.13189/saj.2023.110419","type":"published","date":"2023-08-02T00:00:00+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":27139018,"identity":"8c279722-a969-4b56-8351-ed76a1a1ebf5","added_by":"auto","created_at":"2022-09-29 14:47:12","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":507918,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2047283/v1_covered.pdf"},{"id":27139017,"identity":"8f011f02-ad0a-4463-9375-4dbee826d74c","added_by":"auto","created_at":"2022-09-29 14:47:04","extension":"pdf","order_by":27,"title":"","display":"","copyAsset":false,"role":"supplement","size":54949,"visible":true,"origin":"","legend":"","description":"","filename":"bio.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2047283/v1/8dde524a0eaf9ffa3f3d12e0.pdf"}],"financialInterests":"","formattedTitle":"AI Fitness Coach at Home using Image Recognition","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-2047283/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"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":"Image Processing, Deep learning, Body Recognition","lastPublishedDoi":"10.21203/rs.3.rs-2047283/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2047283/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Recently the number of people exercising at home has increased especially due to the COVID19 pandemic. 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