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Detection of Moving Direction using PIR Sensors and Deep Learning Algorithm

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(3), pp.11-17
  • DOI : 10.9708/jksci.2019.24.03.011
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 12, 2018
  • Accepted : February 18, 2019
  • Published : March 29, 2019

Jiyoung Woo 1 Jaeseok Yun 1

1순천향대학교

Accredited

ABSTRACT

In this paper, we propose a method to recognize the moving direction in the indoor environment by using the sensing system equipped with passive infrared (PIR) sensors and a deep learning algorithm. A PIR sensor generates a signal that can be distinguished according to the direction of movement of the user. A sensing system with four PIR sensors deployed by 45° increments is developed and installed in the ceiling of the room. The PIR sensor signals from 6 users with 10-time experiments for 8 directions were collected. We extracted the raw data sets and performed experiments varying the number of sensors fed into the deep learning algorithm. The proposed sensing system using deep learning algorithm can recognize the users’ moving direction by 99.2 %. In addition, with only one PIR senor, the recognition accuracy reaches 98.4%.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.