Morse Code Based ESP32 Communication with LLM Integration for Healthcare Applications

Morse Code Based ESP32 Communication with LLM Integration for Healthcare Applications | 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 Morse Code Based ESP32 Communication with LLM Integration for Healthcare Applications S. V. Ashok Sainaadh, M. Neil Kumar, B. Sai Sundhar Reddy, Mithun Kumar Kar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8926519/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 17 You are reading this latest preprint version Abstract Morse code is a symbolic communication system that encodes letters, numbers, and characters using short and long signals (dots and dashes). Originally developed for telegraphy, it continues to serve as an efficient input method in assistive technologies, especially for individuals with speech or motor impairments due to its minimal physical effort requirement. This paper presents an assistive communication system that integrates Morse code input with ESP32 microcontrollers and Large Language Models (LLMs) to enable intelligent, natural interaction. A capacitive touch sensor connected to the ESP32 captures Morse code signals, which are decoded into text and transmitted to the Raspberry Pi via a USB serial connection. The Raspberry Pi forwards the text to an LLM for contextual processing and generates a meaningful response, which is sent back to the ESP32 for real-time display on an OLED or LCD module and to phone. Morse code enables low-bandwidth, reliable communication in environments where speech, typing, or high-speed data transfer is difficult or impossible. This system is especially useful in assistive communication for individuals with speech disabilities, paralysis, ALS, or motor impairments, where even minimal finger or touch movement can generate meaningful communication. Morse Code ESP32 Large Language Models Health Monitoring Assistive Technology Human-Computer Interaction Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 08 Apr, 2026 Reviews received at journal 06 Apr, 2026 Reviews received at journal 02 Apr, 2026 Reviews received at journal 29 Mar, 2026 Reviewers agreed at journal 28 Mar, 2026 Reviews received at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 24 Mar, 2026 Reviewers agreed at journal 23 Mar, 2026 Reviewers agreed at journal 23 Mar, 2026 Reviewers agreed at journal 23 Mar, 2026 Reviewers agreed at journal 23 Mar, 2026 Reviewers agreed at journal 20 Mar, 2026 Reviewers invited by journal 20 Mar, 2026 Editor assigned by journal 27 Feb, 2026 Submission checks completed at journal 27 Feb, 2026 First submitted to journal 27 Feb, 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-8926519","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":611281038,"identity":"c7e0a1ab-6f4b-4a20-b786-083499c7f825","order_by":0,"name":"S. V. 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