FPGA-Based Neural Network for Accurate Distance Estimation of Elderly Falls Using WSN in an Indoor Environment

Clicks: 344
ID: 115386
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #1 of 3 articles by views in measurement

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
hasan2020measurementfpga-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Siraj Qays Mahdi,Sadik Kamel Gharghan,Muhideen Abbas Hasan;Siraj Qays Mahdi;Sadik Kamel Gharghan;Muhideen Abbas Hasan;
Journal measurement
Year 2020
DOI
10.1016/j.measurement.2020.108276
URL
https://sciprofiles.com/publication/view/ec8942b8c9c89fe9e793d5304ccb6e60
Keywords
elderly ann wsn indoor fpga zigbee distance estimation accurate

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.