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.
Highlights
In conventional biometric systems, the complex structure of certain body parts of each subject, such as a human iris, fingerprints, facial or hand geometry, are measured optically, analyzed digitally, and converted into a digital code
We have developed a human thermal infrared information acquisition platform, which can collect pyroelectric infrared information about moving human targets and can effectively and precisely identify these human targets; The multiple factors influencing human identification based on pyroelectric infrared technology are exposed; We have deduced a group of mathematical models influencing the human body recognition ability, including micro and macro influence factors
We can combine with a variety of recognition algorithms to quantitatively calculate the five kinds of macro factors, such as the distance between the pyroelectric infrared (PIR) node and human target, body types, human velocity, signal modulation mask and Fresnel lens, and analyze the relationship between the five macro factors and the methods of improving the human identification ability
Summary
The complex structure of certain body parts of each subject, such as a human iris, fingerprints, facial or hand geometry, are measured optically, analyzed digitally, and converted into a digital code. The average heat a human frame radiates is about 100 W/m2 [1]. The temperature of a typical human body is about 37 ◦ C (or 98 ◦ F), and as the temperature between the human body and the environment is different, there is a heat exchange between them. Thermal infrared detectors can sense the wavelength range from 8 to 14 μm and be able to detect humans within a fairly reasonable distance. The PIR sensor can sense the thermal infrared radiation from human body at a certain distance [2,3] (2–4 m without a Fresnel lens and ~12 m with a Fresnel lens)
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