IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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 : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 95

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Sensor Based Human Activity Recognition
Authors Name: Vishaka Rani , Dr Asha , Dr Prabha R
Download E-Certificate: Download
Author Reg. ID:
IJNRD_184907
Published Paper Id: IJNRD2212149
Published In: Volume 7 Issue 12, December-2022
DOI:
Abstract: This paper is a reflection of the research that has been done to enhance and simplify the daily lives of elderly or disabled people. The goal is to use a variety of technological tools, including voice systems, deep neural networks, accelerometers, and the Internet of Things (IoT). It has created a method that makes life easier by allowing computers to recognize human wants. Here, the latest developments in neural networks and the Internet of Things were integrated to provide a more complex form that can adapt to the user and comprehend their behavior. Sensitive information is gathered by continuously monitoring the patient's condition. It was straightforward to tell the system to discern between the required output commands and carry them out thanks to Mems sensors. The appropriate output is shown on the LCD display panel.
Keywords: Mems sensor , MicroPython, Raspberry pi Pico and HAR
Cite Article: "Sensor Based Human Activity Recognition", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b465-b469, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212149.pdf
Downloads: 000118753
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2212149
Registration ID: 184907
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: b465-b469
Country: Bangalore, karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2212149
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2212149
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


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

Social Media

Licence

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

Join RMS/Earn 300

IJNRD