Application of Image Enhancement Algorithm Based on Infrared Sensors in Simulation of Athlete Balance Ability

Application of Image Enhancement Algorithm Based on Infrared Sensors in Simulation of Athlete Balance Ability | 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 Application of Image Enhancement Algorithm Based on Infrared Sensors in Simulation of Athlete Balance Ability Ye Zhang, Lingzi Yao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3849495/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 Balance ability is crucial for athletes both in competitions and during training, and there are currently many groups that require specialized balance ability testing and training. Vision has a direct impact on an individual's balance ability, and using image enhancement algorithms and related technologies can assist in testing and training balance ability in different visual scenes. Therefore, this article takes the image enhancement algorithm based on infrared sensors as the research background and further designs a simulation detection system for athlete balance ability. After in-depth analysis of infrared sensor technology, this article summarizes the operating principle and characteristics of the sensor, with the aim of detecting the balance ability level of athletes. Based on the histogram distribution of low light images, this paper proposes a segmentation method that uses the distribution range as the standard proportion to maintain image contrast within a reasonable range and effectively improve its brightness. Based on the analysis of the results obtained, it was found that the algorithm proposed in this article has significant advantages and performs well in enhancing low light images of different types. Therefore, this article utilizes an image enhancement algorithm based on infrared sensor technology to design a simulation testing system for athlete balance ability, and verifies the effectiveness of the system. infrared sensor Image enhancement algorithm Athlete's balance ability system simulation 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-3849495","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":266379179,"identity":"c2168e58-807f-49da-84f1-3ee0dca5a01a","order_by":0,"name":"Ye Zhang","email":"","orcid":"","institution":"Guangdong Polytechnic Normal University","correspondingAuthor":false,"prefix":"","firstName":"Ye","middleName":"","lastName":"Zhang","suffix":""},{"id":266379180,"identity":"bab983b8-7525-44f8-9b6c-e2a775db5c4b","order_by":1,"name":"Lingzi Yao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIie3QsQrCMBCA4YRAXQKuFaR9hYLQ57lbOikILh06pCDtYLvbyVfQzU0l0CnuTmLfQDcnMTqKNHVzyD/cEPLBJYTYbH8ZE3s9Oc3T9AJx0oXQN/FYIWVwUXU38pqj3jKKBs2cmYGv95E8PmMpxmGMwiH9fAGtJFAHIbmaYSVUeMLtkLjquG4nLopDlQFu0kIT5eiTSTvxV40mD8Cd5OEUM2Ym5KR/7CZgRDMnIp1IoFDsrzV4tGDSBVVz41v8XMorJMDpqklv9zjx+nlpWOwz/tt1m81ms33tCe6iUtmYJCLkAAAAAElFTkSuQmCC","orcid":"","institution":"Guangzhou Maritime University","correspondingAuthor":true,"prefix":"","firstName":"Lingzi","middleName":"","lastName":"Yao","suffix":""}],"badges":[],"createdAt":"2024-01-10 05:59:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3849495/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3849495/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59317567,"identity":"1a1f951c-3ee1-4b50-8697-6d099b109d45","added_by":"auto","created_at":"2024-06-29 10:02:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":273013,"visible":true,"origin":"","legend":"","description":"","filename":"LingziYao.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3849495/v1_covered_0def4649-0fd4-4c79-ae69-6bce530c708c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Application of Image Enhancement Algorithm Based on Infrared Sensors in Simulation of Athlete Balance Ability","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":"infrared sensor, Image enhancement algorithm, Athlete's balance ability, system simulation","lastPublishedDoi":"10.21203/rs.3.rs-3849495/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3849495/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBalance ability is crucial for athletes both in competitions and during training, and there are currently many groups that require specialized balance ability testing and training. Vision has a direct impact on an individual's balance ability, and using image enhancement algorithms and related technologies can assist in testing and training balance ability in different visual scenes. Therefore, this article takes the image enhancement algorithm based on infrared sensors as the research background and further designs a simulation detection system for athlete balance ability. After in-depth analysis of infrared sensor technology, this article summarizes the operating principle and characteristics of the sensor, with the aim of detecting the balance ability level of athletes. Based on the histogram distribution of low light images, this paper proposes a segmentation method that uses the distribution range as the standard proportion to maintain image contrast within a reasonable range and effectively improve its brightness. Based on the analysis of the results obtained, it was found that the algorithm proposed in this article has significant advantages and performs well in enhancing low light images of different types. Therefore, this article utilizes an image enhancement algorithm based on infrared sensor technology to design a simulation testing system for athlete balance ability, and verifies the effectiveness of the system.\u003c/p\u003e","manuscriptTitle":"Application of Image Enhancement Algorithm Based on Infrared Sensors in Simulation of Athlete Balance Ability","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-11 10:22:45","doi":"10.21203/rs.3.rs-3849495/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"5e857ea6-0d43-40ea-96e5-75c28e799abf","owner":[],"postedDate":"January 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-06-29T09:54:03+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-11 10:22:45","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3849495","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3849495","identity":"rs-3849495","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}