Kansei Imagery-Based Coupled Bionic Design for Hand Rehabilitation Robots

Kansei Imagery-Based Coupled Bionic Design for Hand Rehabilitation Robots | 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 Kansei Imagery-Based Coupled Bionic Design for Hand Rehabilitation Robots Zhonghua Wan, Nianwen Wang, Xinpei Meng, Yifei Bi, Li Xu, Ruidan Qu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9144822/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Current hand rehabilitation robots often exhibit limitations in structural compactness, ergonomic compatibility, and aesthetic appeal, failing to satisfy users' dual demands for functionality and visual sophistication. This study proposes a Kansei Imagery-driven coupled bionic design method, which systematically translates user emotional needs into biomimetic forms by integrating Kansei Engineering, Extension Theory, and eye-tracking experiments. Core perceptual imagery—"minimalistic," "aesthetic," and "technological"—was first extracted through lexical screening and cluster analysis. The crab was subsequently identified as the optimal biological prototype via user research and entropy weight analysis. An Extension correlation model was then constructed to quantify the matching degree between crab biological characteristics and the hand rehabilitation robot across morphology, function, and environmental adaptability, guiding design optimization through Extension reasoning. Concurrently, based on an analysis of the hand's musculoskeletal configuration, a novel four-loop ten-bar planar linkage transmission mechanism was developed, achieving high-fidelity replication of natural finger motion trajectories. The final design was validated through eye-tracking experiments and semantic differential scales. Results demonstrated superior performance in visual attention distribution, affective semantic communication, and wearable compatibility. This work validates the feasibility and effectiveness of the Kansei Imagery-driven coupled bionic design approach, offering a novel framework and methodological support for the emotional and human-centric design of hand rehabilitation robots. Physical sciences/Engineering Physical sciences/Mathematics and computing Industrial Design Coupled Bionic Design Kansei Imagery Musculoskeletal Configuration Hand Rehabilitation Robot Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 15 Apr, 2026 Reviews received at journal 11 Apr, 2026 Reviewers agreed at journal 11 Apr, 2026 Reviewers invited by journal 02 Apr, 2026 Editor assigned by journal 01 Apr, 2026 Editor invited by journal 31 Mar, 2026 Submission checks completed at journal 29 Mar, 2026 First submitted to journal 29 Mar, 2026 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-9144822","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":619879773,"identity":"db8a66a4-8f3d-4f9e-9a36-ed1a40774e73","order_by":0,"name":"Zhonghua Wan","email":"","orcid":"","institution":"School of Arts and Design, Yanshan University","correspondingAuthor":false,"prefix":"","firstName":"Zhonghua","middleName":"","lastName":"Wan","suffix":""},{"id":619879774,"identity":"e87c87cd-2ad3-4dad-8edb-a9d0bc58b6e2","order_by":1,"name":"Nianwen 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This study proposes a Kansei Imagery-driven coupled bionic design method, which systematically translates user emotional needs into biomimetic forms by integrating Kansei Engineering, Extension Theory, and eye-tracking experiments. Core perceptual imagery\u0026mdash;\"minimalistic,\" \"aesthetic,\" and \"technological\"\u0026mdash;was first extracted through lexical screening and cluster analysis. The crab was subsequently identified as the optimal biological prototype via user research and entropy weight analysis. An Extension correlation model was then constructed to quantify the matching degree between crab biological characteristics and the hand rehabilitation robot across morphology, function, and environmental adaptability, guiding design optimization through Extension reasoning. 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