Research on Time Series Prediction of Health Behaviors and Intelligent Interactive Response Algorithm for Wearable Devices Based on LSTM - Oriented Towards Smart Elderly Care Scenarios

Research on Time Series Prediction of Health Behaviors and Intelligent Interactive Response Algorithm for Wearable Devices Based on LSTM - Oriented Towards Smart Elderly Care Scenarios | 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 Research on Time Series Prediction of Health Behaviors and Intelligent Interactive Response Algorithm for Wearable Devices Based on LSTM - Oriented Towards Smart Elderly Care Scenarios Kang Ji, Xiaoshu Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7599843/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract The need for advanced health monitoring systems has grown with the world's fast-growing aging population. To foresee time-series health habits from wearable sensor data and trigger smart responses tailored for elderly citizens, this research proposes a novel architecture that leverages Long Short-Term Memory (LSTM) networks. Several layers constitute the proposed architecture: wearable sensors for data acquisition, edge devices for preprocessing in real-time, LSTM models for predictive analytics over time, and a logic-based intelligent reaction mechanism. The solution utilizes a complete dataset named "AI-Driven Elderly Care: Real-Time Monitoring & Assistance," which includes activity logs, emergency alarms and physiological information like heart rate, glucose level. An optimized two-layer LSTM model is the foundation of the approach that identifies long-range dependencies in healthcare data. A rule-based knowledge response system takes predictions such as poor mobility, abnormal heartbeat or disrupted sleep and employs cloud-edge synchronization based on MQTT and HTTP protocols to dispatch real-time alerts, nudges or caregiver warnings. With 96.8% accuracy, 95.6% precision, 96.2% recall, and a 95.9% F1-score, the model performed well. Through the local processing of insights, this approach significantly reduces latency, enhances real-time interactivity and ensures data privacy compared to traditional centralized systems. The proposed framework's early anomaly detection and customized intervention reflect how ideally suited this approach is for elderly care. This work introduces a wearable-based deep learning system-based scalable, low-latency, and smart scheme of monitoring the well-being of the elderly, which is an essential contribution in smart healthcare environments. Elderly Care LSTM Health Behavior Prediction Wearable Sensors Intelligent Response System Smart Healthcare Edge Computing Activity Recognition Physiological Signals Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 09 Feb, 2026 Reviews received at journal 04 Feb, 2026 Reviewers agreed at journal 19 Jan, 2026 Reviewers agreed at journal 10 Dec, 2025 Reviews received at journal 08 Dec, 2025 Reviewers agreed at journal 07 Nov, 2025 Reviewers invited by journal 25 Sep, 2025 Editor assigned by journal 15 Sep, 2025 Submission checks completed at journal 15 Sep, 2025 First submitted to journal 12 Sep, 2025 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-7599843","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":524913221,"identity":"3b75948a-22f1-4b7f-aa83-b6ff00e8a2cf","order_by":0,"name":"Kang Ji","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5UlEQVRIie3QsQqCQBjA8U8OruUT1zuMnqE4EIceRgmapEcIwaHFaC3oIYKguXAOX6EIosFBt5agj6yhocsx6P6D6HE/zvsATKYfTDyeKJAztqU3nz4ako7T4gFAIJoSACVn2G1G5GSfXaDth6sMq5N9peNwa5VV9Jm4OBr69GNE7LXCQCg5jZlcbD6TDkRe90k2LpFwlQNnto44xYvguRlxRaQORJRMkNdkH+uJnBdePWTGVW85JJvuEu1dRB6p0krHyJ3seCj6fZrYYFdWGkJx95a+LVixdj/FSrh+22MymUx/3R1opkM9pQ32vwAAAABJRU5ErkJggg==","orcid":"","institution":"Henan Finance University","correspondingAuthor":true,"prefix":"","firstName":"Kang","middleName":"","lastName":"Ji","suffix":""},{"id":524913222,"identity":"b29acae8-3e25-40e8-b9db-78444f4e344b","order_by":1,"name":"Xiaoshu Li","email":"","orcid":"","institution":"Zhengzhou University of Aeronautics","correspondingAuthor":false,"prefix":"","firstName":"Xiaoshu","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2025-09-12 11:53:54","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7599843/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7599843/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92997317,"identity":"c1aa60a2-f74a-44e7-8db2-14d045638230","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":1866249,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchonTimeEPJDS.docx","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/f3b9e7114eea7c53fdf1e2e7.docx"},{"id":92997996,"identity":"adf87bcd-e9a7-4a7c-8fee-e1556988dd8a","added_by":"auto","created_at":"2025-10-08 04:06:25","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4745,"visible":true,"origin":"","legend":"","description":"","filename":"8c270116fded42d5b77ffaf0bec57e09.json","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/3370b66fdc7ce29f37301a75.json"},{"id":92997847,"identity":"ce547e3d-c8de-47ca-a53c-25e6d227f266","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":134091,"visible":true,"origin":"","legend":"","description":"","filename":"8c270116fded42d5b77ffaf0bec57e091enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/c5ea10e1febc1dfdbc032265.xml"},{"id":92997316,"identity":"708a55a1-889b-4ce9-a52d-33fed02bf664","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":3,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":138626,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/68695bceca911f4f89ea9c91.png"},{"id":92997310,"identity":"366cfe24-946a-45e8-ae90-4d2a9ba2a97f","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":25160,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage10.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/079fce41d93247192bbe926c.png"},{"id":92997309,"identity":"94623368-d380-4aa5-a41c-e5cdfd957e20","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":20887,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage11.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/9ee9dace963323172954e759.png"},{"id":92997315,"identity":"b27d441a-d140-4f30-ba84-b3a349c98967","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":8559,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage12.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/d8454ce2c5173f74e0845170.png"},{"id":92997311,"identity":"7229a1ee-e8e9-492a-815a-993a14dab55c","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":7,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":21179,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage13.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/c9280ec8eb8c0e7001acfc5d.png"},{"id":92997849,"identity":"e92d18de-8fba-4b79-a86c-b182a65c5223","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"png","order_by":8,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":42023,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage14.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/063a75d52e7e7113caeacda1.png"},{"id":92997998,"identity":"8a6addad-ea0c-474b-99ce-4c68f378b78b","added_by":"auto","created_at":"2025-10-08 04:06:25","extension":"png","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":40375,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage15.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/2d16594bf9c4c49a0cbfae05.png"},{"id":92997325,"identity":"a05b5907-90de-46bb-bcde-64e950a06eec","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":45854,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/61713cd1f973a848306a80ee.png"},{"id":92997328,"identity":"5d827e42-825a-4af9-8869-4d26845df4dd","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":77130,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/427dedec7f181846e81c91aa.png"},{"id":92997852,"identity":"598a1b3a-6a94-4773-a031-7dbc063650e5","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"png","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":235516,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/1e8a0398772f577a90893435.png"},{"id":92997319,"identity":"f625a62a-b57a-4da5-9f34-7a0ff2858450","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":101578,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/c418ea8ba36676122fa6a681.png"},{"id":92997323,"identity":"f4d98034-f3ef-4114-8a40-bb49cc5d5cf0","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":499041,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/a9f68db394193e45e586b597.png"},{"id":92997333,"identity":"fa61a707-6d2b-47c0-8d39-26d451f577f8","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":15,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":426499,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/9878700b5904a8aa1603f9af.png"},{"id":92997331,"identity":"74ebd742-4cc6-4231-b761-963b9b1df5a9","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":16,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":65874,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/b7a3b2a6d746a079aa654afe.png"},{"id":92997997,"identity":"0d4143f7-3cb8-47ae-a90a-c722a9189756","added_by":"auto","created_at":"2025-10-08 04:06:25","extension":"png","order_by":17,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":17848,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage9.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/310e38e104ebc13a8cb1b728.png"},{"id":92997335,"identity":"1204420b-7e49-403e-8383-1584648a4437","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":18,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":39148,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/d2c54bd60f87e652072eb02c.png"},{"id":92997327,"identity":"f0d4ed1d-66f7-4d7d-8193-b89c273217ec","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":19,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":10616,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage10.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/44499dde4babee0c796ecf6f.png"},{"id":92997330,"identity":"d7a86493-19f2-42fb-8ff5-07a6c690ca26","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":20,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":8678,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage11.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/2f09f982e8ef39f6182c2fa8.png"},{"id":92997850,"identity":"7eee1700-fab3-44bd-b885-d4ee559e06b7","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"png","order_by":21,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":8323,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage12.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/48b2092068999c4854fc0bfe.png"},{"id":92997855,"identity":"fa50dfa8-b7af-456e-986b-e72df8687985","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"png","order_by":22,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":8164,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage13.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/268127449b4399973bddc137.png"},{"id":92997322,"identity":"ab0557da-a20e-4df3-b9a2-b350ecfade90","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":23,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":13378,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage14.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/bb9e4a0c57c0b001d4065324.png"},{"id":92997344,"identity":"c63a8947-a6ed-438a-acfc-e054f0b8cebf","added_by":"auto","created_at":"2025-10-08 03:50:26","extension":"png","order_by":24,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":11542,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage15.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/746c45da3ade23ca828c06b3.png"},{"id":92997854,"identity":"34b4522d-80da-4cd1-b963-beacbfac2dba","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"png","order_by":25,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":17021,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/1d7ba05395b9fa2731a871a3.png"},{"id":92997336,"identity":"5ceb7551-ef9d-41a1-8008-bdf0f7cf55b3","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":26,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":20317,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/372cb955a22d06ab1dd6fdd7.png"},{"id":92997874,"identity":"a9e31e1b-be0f-4d15-8a7c-715f912897e8","added_by":"auto","created_at":"2025-10-08 03:58:50","extension":"png","order_by":27,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":42669,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/72d655075e3dbaf1b9b1911b.png"},{"id":92997337,"identity":"ecb77f52-a0da-4997-bf2c-928e9b11f014","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"png","order_by":28,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":13950,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/bf0ab82e54754926233031f2.png"},{"id":92997341,"identity":"56d4cf21-ee81-41b1-b007-62775b915455","added_by":"auto","created_at":"2025-10-08 03:50:26","extension":"png","order_by":29,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":18506,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/fa39bc8898333fcf08f7a269.png"},{"id":92997856,"identity":"7de67e1c-021f-46f2-991f-582c2dff4339","added_by":"auto","created_at":"2025-10-08 03:58:25","extension":"png","order_by":30,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":17351,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/987ebebb29fe70bbcdd87d9e.png"},{"id":92997857,"identity":"9b0b9204-c744-4798-ae06-0078331b22ad","added_by":"auto","created_at":"2025-10-08 03:58:26","extension":"png","order_by":31,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":21939,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/6bbb3db98b55d04ea300ca0e.png"},{"id":92997342,"identity":"be3fcc6c-8c36-4eba-a4a4-6a5d1defdb73","added_by":"auto","created_at":"2025-10-08 03:50:26","extension":"png","order_by":32,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":6983,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage9.png","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/0abb1ef94dffe44c1be7de6e.png"},{"id":92997858,"identity":"a1a299d2-f57a-4392-9a2c-baea779b9b32","added_by":"auto","created_at":"2025-10-08 03:58:26","extension":"xml","order_by":33,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":134130,"visible":true,"origin":"","legend":"","description":"","filename":"8c270116fded42d5b77ffaf0bec57e091structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/eb4f5164966955cb31d993b9.xml"},{"id":92997340,"identity":"0ce0669c-328d-47b7-bfe3-268457da1b77","added_by":"auto","created_at":"2025-10-08 03:50:25","extension":"html","order_by":34,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":148885,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1/748217675ca2ab2f5aa0d161.html"},{"id":92998427,"identity":"f1bafb0d-bef7-4bf4-86fa-83e296aadc64","added_by":"auto","created_at":"2025-10-08 04:14:27","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1031773,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchonTimeEPJDS.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7599843/v1_covered_f0864d08-f78d-4746-906b-110df5f8a5ec.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Time Series Prediction of Health Behaviors and Intelligent Interactive Response Algorithm for Wearable Devices Based on LSTM - Oriented Towards Smart Elderly Care Scenarios","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"epj-data-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"epds","sideBox":"Learn more about [EPJ Data Science](https://epjdatascience.springeropen.com/)","snPcode":"13688","submissionUrl":"https://submission.springernature.com/new-submission/13688/3","title":"EPJ Data Science","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Elderly Care, LSTM, Health Behavior Prediction, Wearable Sensors, Intelligent Response System, Smart Healthcare, Edge Computing, Activity Recognition, Physiological Signals","lastPublishedDoi":"10.21203/rs.3.rs-7599843/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7599843/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe need for advanced health monitoring systems has grown with the world's fast-growing aging population. To foresee time-series health habits from wearable sensor data and trigger smart responses tailored for elderly citizens, this research proposes a novel architecture that leverages Long Short-Term Memory (LSTM) networks. Several layers constitute the proposed architecture: wearable sensors for data acquisition, edge devices for preprocessing in real-time, LSTM models for predictive analytics over time, and a logic-based intelligent reaction mechanism. The solution utilizes a complete dataset named \"AI-Driven Elderly Care: Real-Time Monitoring \u0026amp; Assistance,\" which includes activity logs, emergency alarms and physiological information like heart rate, glucose level. An optimized two-layer LSTM model is the foundation of the approach that identifies long-range dependencies in healthcare data. A rule-based knowledge response system takes predictions such as poor mobility, abnormal heartbeat or disrupted sleep and employs cloud-edge synchronization based on MQTT and HTTP protocols to dispatch real-time alerts, nudges or caregiver warnings. With 96.8% accuracy, 95.6% precision, 96.2% recall, and a 95.9% F1-score, the model performed well. Through the local processing of insights, this approach significantly reduces latency, enhances real-time interactivity and ensures data privacy compared to traditional centralized systems. The proposed framework's early anomaly detection and customized intervention reflect how ideally suited this approach is for elderly care. This work introduces a wearable-based deep learning system-based scalable, low-latency, and smart scheme of monitoring the well-being of the elderly, which is an essential contribution in smart healthcare environments.\u003c/p\u003e","manuscriptTitle":"Research on Time Series Prediction of Health Behaviors and Intelligent Interactive Response Algorithm for Wearable Devices Based on LSTM - Oriented Towards Smart Elderly Care Scenarios","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-08 03:50:20","doi":"10.21203/rs.3.rs-7599843/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-02-09T17:36:25+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-02-04T14:50:54+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"114641567588234774444954039668041066219","date":"2026-01-19T07:18:39+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"164791135892959590255686100260864306001","date":"2025-12-10T13:19:37+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-08T08:39:42+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"123035817259247051051101778388873014197","date":"2025-11-07T10:42:41+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-25T13:39:58+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-09-15T06:33:13+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-15T06:30:14+00:00","index":"","fulltext":""},{"type":"submitted","content":"EPJ Data Science","date":"2025-09-12T10:38:08+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"epj-data-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"epds","sideBox":"Learn more about [EPJ Data Science](https://epjdatascience.springeropen.com/)","snPcode":"13688","submissionUrl":"https://submission.springernature.com/new-submission/13688/3","title":"EPJ Data Science","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a307caca-144b-4efe-9bde-d9cc458ee3c2","owner":[],"postedDate":"October 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-08T14:38:45+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-08 03:50:20","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7599843","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7599843","identity":"rs-7599843","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}