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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 79

Article Submitted : 5529

Article Published : 3056

Total Authors : 7817

Total Reviewer : 540

Total Countries : 68

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Paper Title: Analysis Living and Non-Living Things Fall Detection and Prevention Using Wireless Network & IoT
Authors Name: Somasundaram N , M.Aishwarya , Dr. R.Natarajan
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Published Paper Id: IJRTI2208200
Published In: Volume 7 Issue 8, August-2022
Abstract: In the fall of the aging people and paralysis patient always lead to serious health issues as the decline of their physical fitness. Cleavage is the most common slash in fall of an aging people and there is also a certain possibility to get coma, brain trauma, and paralysis patient. About to the fall situations, the fall process is the main source of tear because of the high influence. But sometimes, late medical reclaim may be depressed the situation. That means the faster the reclaim comes, the less threat the aging human beings will face. Thus the paper progress a fall detection system based on a suitable device. The system monitors the movements of human body, recognizes a fall from day to day activities by an effective quaternion algorithm, and automatic sends request for help to the cared with the patient’s location. In the fall detection algorithms plan based on the option of acceptance features. According the acceptance feature, fall detection algorithms, classified as gateway based and machine learning based. Gateway based method; gateway of recognition feature is set by the designer before appeal which makes the algorithm have rapid response and less resource consumption. In the machine learning based design, the grouping of fall and day to day activities is available with the assistance of technologies such as support vector machine (SVM) and neural network.
Keywords: DC Motor, GSM Modem, Support Vector Machine, Tri-Axis Accelerometer
Cite Article: "Analysis Living and Non-Living Things Fall Detection and Prevention Using Wireless Network & IoT ", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.7, Issue 8, page no.1243 - 1246, August-2022, Available :
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2208200
Registration ID:183743
Published In: Volume 7 Issue 8, August-2022
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Page No: 1243 - 1246
Country: Aruppukottai / Virudhunagar, Tamilnadu, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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