Chavda Arvindkumar, Nitin Jaiswal, Jenish Tailor, Zhiqiang Liu, Chirag Parihar, Jiehan Zhou, Kevin Holmes, Stuart Dean, Misbah Islam
{"title":"Non-intrusive user-oriented interactive fall-detection system for seniors","authors":"Chavda Arvindkumar, Nitin Jaiswal, Jenish Tailor, Zhiqiang Liu, Chirag Parihar, Jiehan Zhou, Kevin Holmes, Stuart Dean, Misbah Islam","doi":"10.1109/IHTC.2015.7238071","DOIUrl":null,"url":null,"abstract":"This system enables autonomous and non-intrusive detection of falls and initiates post-fall care activities without burdening seniors by wearing any monitoring device or requiring constant scrutiny from video surveillance. Caregivers can monitor or be alerted of fall events through a Web-based mobile application. This system has the following specific features. (1) It enables to detect and identify different types of motion and fall events by using spectrogram-based algorithm to analyze reflected Doppler signals. (2) The system supplies a user-friendly Web application to configure the system during the initial operation and future software upgrades. (3) The system provides the user with a friendly interactive alert information management system in the context of fall detection.","PeriodicalId":178502,"journal":{"name":"2015 IEEE Canada International Humanitarian Technology Conference (IHTC2015)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Canada International Humanitarian Technology Conference (IHTC2015)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHTC.2015.7238071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This system enables autonomous and non-intrusive detection of falls and initiates post-fall care activities without burdening seniors by wearing any monitoring device or requiring constant scrutiny from video surveillance. Caregivers can monitor or be alerted of fall events through a Web-based mobile application. This system has the following specific features. (1) It enables to detect and identify different types of motion and fall events by using spectrogram-based algorithm to analyze reflected Doppler signals. (2) The system supplies a user-friendly Web application to configure the system during the initial operation and future software upgrades. (3) The system provides the user with a friendly interactive alert information management system in the context of fall detection.