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Sensors 2018, 18(2), 604; https://doi.org/10.3390/s18020604

Research on the Multiple Factors Influencing Human Identification Based on Pyroelectric Infrared Sensors

1
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
2
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
*
Author to whom correspondence should be addressed.
Received: 13 December 2017 / Revised: 1 February 2018 / Accepted: 11 February 2018 / Published: 16 February 2018
(This article belongs to the Section Physical Sensors)
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Abstract

Analysis of the multiple factors affecting human identification ability based on pyroelectric infrared technology is a complex problem. First, we examine various sensed pyroelectric waveforms of the human body thermal infrared signal and reveal a mechanism for affecting human identification. Then, we find that the mechanism is decided by the distance, human target, pyroelectric infrared (PIR) sensor, the body type, human moving velocity, signal modulation mask, and Fresnel lens. The mapping relationship between the sensed waveform and multiple influencing factors is established, and a group of mathematical models are deduced which fuse the macro factors and micro factors. Finally, the experimental results show the macro-factors indirectly affect the recognition ability of human based on the pyroelectric technology. At the same time, the correctness and effectiveness of the mathematical models is also verified, which make it easier to obtain more pyroelectric infrared information about the human body for discriminating human targets. View Full-Text
Keywords: pyroelectric infrared (PIR) sensor; identification; mapping model; macro-factor; micro-factor pyroelectric infrared (PIR) sensor; identification; mapping model; macro-factor; micro-factor
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Yan, J.; Lou, P.; Li, R.; Hu, J.; Xiong, J. Research on the Multiple Factors Influencing Human Identification Based on Pyroelectric Infrared Sensors. Sensors 2018, 18, 604.

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