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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
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Issue Published : 115
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| Paper Title: | Smart Fall Detection System For Elderly People Using Arduino Uno |
| Authors Name: | Syeda Muteeba , Sachin C S , Monisha G , Sri Lakshmi H D |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187479
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| Published Paper Id: | IJRTI2307012 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| Abstract: | — Falling down is one of the major medical problems that faced by the elderly people. The consequences of falling may be fatal if there is no immediate medical attention provided. Hiring nurse and caregivers may be the best option to constantly monitor and support activities of daily living (ADL) of elderly people, but the cost would be very expensive. Moreover, it is difficult for the caregivers to constantly observe and assist elderly people all the time. Falling event among the elderly people may occur when the caregivers are not around to supervise which lead to the issue of reliability. Therefore, an intelligent fall detection system that is reliable and cost effective must be considered as an option to assist elderly people. Currently available techniques that are used to design fall detection systems are classified into three categories which are camera- based method, acoustic based method and kinematic based method. Each method has its own advantages and disadvantages over another. All of these approaches help to reduce the effort of nurse and caregivers to monitor daily activities of the elderly people. Furthermore, they provide proper medical attention urgently to the elderly in case of fall. Despite these advantages, there are still many problems and the state-of-the-art in fall detection is quite premature. There are still need for massive research in order to come up with a system that can solve all the drawbacks of current traditional approaches. Method that can predict a fall before it actually occurs needs to be developed so that preventive measures can be taken quickly before any severe injuries happen. |
| Keywords: | Fall detection, ADL, Monitoring |
| Cite Article: | "Smart Fall Detection System For Elderly People Using Arduino Uno", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.75 - 79, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307012.pdf |
| Downloads: | 000205165 |
| 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 |
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Published Paper ID: IJRTI2307012
Registration ID:187479
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 75 - 79 Country: Mysore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307012 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307012 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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