Smart Fall Detection: AI-Powered Airbag Deployment for Injury Prevention

Smart Fall Detection: AI-Powered Airbag Deployment for Injury Prevention | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 15 April 2025 V1 Latest version Share on Smart Fall Detection: AI-Powered Airbag Deployment for Injury Prevention Authors : Bindu Madavi [email protected] and Krishna Sowjanya Authors Info & Affiliations https://doi.org/10.22541/au.174468808.84893643/v1 259 views 92 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Falls among elderly individuals are a leading contributor to injury and death worldwide. As the aging population continues to rise, there will be an even greater demand for advanced safety solutions to minimize the risk of falls. Therefore, this research presents a Human Fall Detection and Airbag Implementation System designed to provide real-time fall detection and injury prevention. The operation of the system takes place in two phases: first, fall detection, and second, alert generation. In the first phase, the subjects use a smart wearable device with a gyroscope and accelerometers to constantly monitor movement and orientation. The sensor data thus collected is preprocessed and then analyzed using signal processing techniques to distinguish normal activities from a possible fall event. The motion pattern is fed into a machine learning model-i.e., a Random Forest algorithm-that assesses in real-time whether an event is likely to be a fall. In case of a high-confidence fall detection, immediate airbag deployment is triggered to minimize the impact and help protect critical body parts like the head, back, and hips. As for the second phase, the system automatically alerts caregivers and nearby medical services for immediate assistance if no movement occurs, even after a threshold time limit. The AI-based technology not only boosts fall detection accuracy but also reduces false alarms, thus providing a dependable solution for aged individuals, impaired patients, and even workers in hazard-prone environments. The proposed system thus aims to provide a better quality of life for these at-risk individuals, allowing higher levels of independence while preventing and/or reducing the risk of severe fall injuries. Supplementary Material File (human fall detection.docx) Download 126.62 KB Information & Authors Information Version history V1 Version 1 15 April 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords airbag implementation elderly safety human fall detection machine learning wearable device Authors Affiliations Bindu Madavi [email protected] Christ University Trust View all articles by this author Krishna Sowjanya Christ University Trust View all articles by this author Metrics & Citations Metrics Article Usage 259 views 92 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Bindu Madavi, Krishna Sowjanya. Smart Fall Detection: AI-Powered Airbag Deployment for Injury Prevention. Authorea . 15 April 2025. DOI: https://doi.org/10.22541/au.174468808.84893643/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.174468808.84893643/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'a00545010ad5e2c5',t:'MTc3OTU1MTk4NA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();