A Piezoelectric Sensor Signal Analysis Method for Identifying Persons Groups.

Clicks: 241
ID: 75310
2019
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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.
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
bio-signal cardiac signal personal identification piezo-electric sensor watching system microstructure bearing steel 100cr6 compression test force–displacement curves mechanical descriptor spherical micro samples

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