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

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 2; p. 604
• Main Authors: Yan, Junwei, Lou, Ping, Li, Ruiya, Hu, Jianmin, Xiong, Ji
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 16.02.2018; MDPI
• Subjects: Human body; identification; Infrared analysis; Infrared detectors; macro-factor; mapping model; Mathematical models; micro-factor; pyroelectric infrared (PIR) sensor; Waveforms; macro-factor; identification; mapping model; pyroelectric infrared (PIR) sensor; micro-factor
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18020604

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.