A Piezoelectric Sensor Signal Analysis Method for Identifying Persons Groups

Sensors (Basel). 2019 Feb 12;19(3):733. doi: 10.3390/s19030733.

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.

Keywords: bio-signal; cardiac signal; personal identification; piezo-electric sensor; watching system.

MeSH terms

  • Aged
  • Biosensing Techniques / methods*
  • Clinical Alarms
  • Heart Rate / physiology
  • Humans
  • Respiration
  • Vibration