[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2019.24.03.011

Detection of Moving Direction using PIR Sensors and Deep Learning Algorithm

Woo, Jiyoung (Dept. of Bigdata Engineering, Soonchunhyang University)
Yun, Jaeseok (Dept. of Internet of Things, Soonchunhyang University)

Publication Information

Journal of the Korea Society of Computer and Information / v.24, no.3, 2019 , pp. 11-17 More about this Journal

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 $45^{\circ}$ 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%.

Keywords

Passive infrared; movement direction detection; deep learning; machine learning; convolutional neural network;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
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