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Open AccessArticle

EMD-Based Symbolic Dynamic Analysis for the Recognition of Human and Nonhuman Pyroelectric Infrared Signals

by 1,†, 1,*, 2,† and 1
1
Key Lab of Optoelectronic Technology and Systems, Chongqing University, 174 Shazheng Street, Chongqing 400044, China
2
Technology Center of Sichuan Changhong Electric Co. Ltd, 199 Tianfu Road, Chengdu 610000, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Vincenzo Spagnolo and Dragan Indjin
Sensors 2016, 16(1), 126; https://doi.org/10.3390/s16010126
Received: 10 November 2015 / Revised: 14 January 2016 / Accepted: 14 January 2016 / Published: 20 January 2016
(This article belongs to the Special Issue Infrared and THz Sensing and Imaging)
In this paper, we propose an effective human and nonhuman pyroelectric infrared (PIR) signal recognition method to reduce PIR detector false alarms. First, using the mathematical model of the PIR detector, we analyze the physical characteristics of the human and nonhuman PIR signals; second, based on the analysis results, we propose an empirical mode decomposition (EMD)-based symbolic dynamic analysis method for the recognition of human and nonhuman PIR signals. In the proposed method, first, we extract the detailed features of a PIR signal into five symbol sequences using an EMD-based symbolization method, then, we generate five feature descriptors for each PIR signal through constructing five probabilistic finite state automata with the symbol sequences. Finally, we use a weighted voting classification strategy to classify the PIR signals with their feature descriptors. Comparative experiments show that the proposed method can effectively classify the human and nonhuman PIR signals and reduce PIR detector’s false alarms. View Full-Text
Keywords: empirical mode decomposition; symbolic dynamics; pyroelectric infrared signals; feature extraction; pattern classification empirical mode decomposition; symbolic dynamics; pyroelectric infrared signals; feature extraction; pattern classification
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Zhao, J.; Gong, W.; Tang, Y.; Li, W. EMD-Based Symbolic Dynamic Analysis for the Recognition of Human and Nonhuman Pyroelectric Infrared Signals. Sensors 2016, 16, 126.

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