International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 3
May-June 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Secure IoT Assistant-Based System For Alzheimer’s Disease

Author(s) Jishna N V, Dini Davis
Country India
Abstract Alzheimer's disease is a neurological condition that gradually impairs a person's capacity for thought and memory. Gradually, it gets worse until it becomes a major hindrance to the way the person with the illness lives and functions in the world. The purpose of this research is to create a prototype for mild to moderate AD that provides safe information transmission and support services, allowing a family member to investigate it and safeguard the AD patient. The wearable prototype can distinguish between family and non-family members in recognized images and give a vocal communication with the individual's name. Additionally, the prototype makes it possible to track the AD person's location. The prototype makes their daily lives easier. Thus far, the prototype follows the individual with AD around and notifies caregivers of their whereabouts so that, if the patient leaves the house, they can securely return them home. Additionally, by detecting dampness, this prototype informs the patient's caregiver of their excrement. So, the prototype will help the patient in their daily life very efficiently.
Keywords AD, Machine learning, LBPH, classification, security, facial recognition, GPS Location, Wetness sensing, IoT
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-22
Cite This Secure IoT Assistant-Based System For Alzheimer’s Disease - Jishna N V, Dini Davis - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20933
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20933
Short DOI https://doi.org/gtwmrp
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2 Cover Page Vol 6 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com