A Piezoelectric Sensor Signal Analysis Method for Identifying Persons Groups.
Clicks: 195
ID: 75310
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
64.3
/100
194 views
152 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
The is an increasing number of elderly single-person households causing lonely deaths and it is a social problem. We study a watching system for elderly families by laying the piezoelectric sensors inside the house. There are few privacy issues of this system because piezoelectric sensor detects only a person's vibration signal. Furthermore, it has a benefit of sensing the ability for a bio-signal including the respiration cycle and cardiac cycle. We propose a method of identifying the person who is on the sensor by analyzing the frequency spectrum of the bio-signal. Multiple peaks of harmonics originating from the heartbeat appear in the graph of the frequency spectrum. We propose a method to identify people by using the peak shape as a discrimination criterion.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (123 words).
Try re-searching for a better abstract.
| Reference Key |
ueno2019asensors
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Ueno, Hitoshi; |
| Journal | sensors |
| Year | 2019 |
| DOI |
E733
|
| URL | |
| Keywords |
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.