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- Vol. 1 Issue 6
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Performance analysis of Remote Fall Stalking using Multiple Extraction Techniques
Authors
1,2Dept. of EEE, Laxmi Bai Sahuji Institute of Engineering & Technology, MP, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 1, Issue 6 (2021)
- Published Online
- November-December 2021
- Pages
- 01-03
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFResearchers have drew in with finding the best different choices. This includes wearable sensors, modernized thinking, etc. What is this paper about? It was to find the most effective way to manage beneficially distinguish a fall with fewer misdirecting alarms and was implemented by finding the Histogram of Oriented Gradients close by quantifiable methods which removes huge features and differentiated it and the trained videos. A coordinated learning strategy is exploited, where thedatabaseistrainedwithvideosthatcontainbothfallandquotidianactivities(QA).SupportVectorMachine(SVM)isutilizedindistinguishingfallanddailyevents.Thedoctor/supervisor isintimatedviaemailondetection of fall. Index terms: GMM,HOG, Real-time processing, Supervised Learning, Statistical feature, SVM
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