A Highly Integrated Multimodal Fingerprint Sensor Decorated Robotic Hand for Home-Based Healthcare

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Abstract Flexible electronic skin (e-skin) has endowed humanoid robots with tactile perception capabilities rivaling, and in some aspects exceeding, human manual operation, laying a foundation for healthcare service applications. However, conventional flexible e-skin faces limitations in integration density, constrained by wiring bottlenecks, and signal crosstalk between sensing units inherent to its two-dimensional structure, hindering the development of sophisticated multimodal diagnostic and therapeutic robotic systems. Inspired by the structure of peripheral nerves, we develop a novel fingerprint-inspired sensor featuring a localized concentric ring architecture through meticulously designed conductive patterns and substrate geometry on thin-film circuits, followed by a rolling fabrication process. Pressure sensors are positioned in the strain-sensitive outer ring regions, while temperature, electrophysiological, and sweat sensors are integrated into strain-insensitive zones, significantly reducing signal interference. Furthermore, the system incorporates a single-side integrated signal output interface, greatly simplifying wiring complexity. When deployed on robotic platforms, this system discriminates Young’s moduli of manipulated objects and detects human sweat biomarkers, temperature, and electrophysiological signals during contact, providing essential technical foundations for elderly care robotics.
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A Highly Integrated Multimodal Fingerprint Sensor Decorated Robotic Hand for Home-Based Healthcare | 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 A Highly Integrated Multimodal Fingerprint Sensor Decorated Robotic Hand for Home-Based Healthcare Fengwei Huo, Xiaolong Xu, Yifei Sun, Lei Chen, Weiyao Wu, Xu Han, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8445694/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 Flexible electronic skin (e-skin) has endowed humanoid robots with tactile perception capabilities rivaling, and in some aspects exceeding, human manual operation, laying a foundation for healthcare service applications. However, conventional flexible e-skin faces limitations in integration density, constrained by wiring bottlenecks, and signal crosstalk between sensing units inherent to its two-dimensional structure, hindering the development of sophisticated multimodal diagnostic and therapeutic robotic systems. Inspired by the structure of peripheral nerves, we develop a novel fingerprint-inspired sensor featuring a localized concentric ring architecture through meticulously designed conductive patterns and substrate geometry on thin-film circuits, followed by a rolling fabrication process. Pressure sensors are positioned in the strain-sensitive outer ring regions, while temperature, electrophysiological, and sweat sensors are integrated into strain-insensitive zones, significantly reducing signal interference. Furthermore, the system incorporates a single-side integrated signal output interface, greatly simplifying wiring complexity. When deployed on robotic platforms, this system discriminates Young’s moduli of manipulated objects and detects human sweat biomarkers, temperature, and electrophysiological signals during contact, providing essential technical foundations for elderly care robotics. Physical sciences/Materials science/Materials for devices/Sensors and biosensors Physical sciences/Materials science/Techniques and instrumentation/Design, synthesis and processing Physical sciences/Materials science/Materials for devices/Electronic devices Physical sciences/Materials science/Soft materials/Polymers Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SI2.mp4 SUPPLEMENTARY VIDEO 2 SI3.mp4 SUPPLEMENTARY VIDEO 3 SI1.mp4 SUPPLEMENTARY VIDEO 1 SI.doc SUPPLEMENTARY INFORMATION 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. 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