IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21504

Article Published : 8513

Total Authors : 22399

Total Reviewer : 805

Total Countries : 158

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Iot based wheelchair fall detection
Authors Name: Mohd Hammad Khan , Vishnu Kr Yogi , Mohit Kr Kumawat , Amjad Khan
Download E-Certificate: Download
Author Reg. ID:
IJRTI_182309
Published Paper Id: IJRTI2206264
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: As we know that many of the elderly people, because of the health condition and weakness doctor recommend them to get a wheel chair. As in our busy schedule we cannot monitor them all the day. And there is a chance that the elder people may fall from the wheel chair or they may fall when they are getting off the bed and What if they fall when there were no one around them? So in this mini project we can discuss about monitoring the elder people using the accelerometer sensors and RFID technology (radio frequency identification)operating through indoor and outdoor tracking using the embedded system with the thresholds. The falls can be detected of the elder people who are living alone in the home and the person who is handicapped can have certain incidents like falling so to monitor the elder people activities this paper presents the accelerometer sensor and the RFID technology using this technology the activities of the elder people can be identified and if they fall then we will get an alert message to our phone so that we may get them on time.
Keywords: Wheelchair, sensors, Arduino
Cite Article: "Iot based wheelchair fall detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1773 - 1776, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206264.pdf
Downloads: 000205241
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: IJRTI2206264
Registration ID:182309
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 1773 - 1776
Country: Tonk, Rajasthan, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206264
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206264
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner