Journal of Infrared and Millimeter Waves, Volume. 39, Issue 2, 228(2020)
Human localization technology based on the pyroelectric infrared sensors
Fig. 1. The sketch map of the modulation strategy of Ref.12 and Refs.13-14 (a) The modulation strategy of Ref.12,(b) the modulation strategy of Refs.13-14
Fig. 2. The sketch map of the proposed FOVs modulation strategy (a) the FOV of one PIR is modulated by a mask, (b) ideally, the starting points of the FOVs of multiple PIRs are located at same point (
Fig. 3. The physical map of the node, and the sketch map of the sampling areas in non-ideal case (a) The arrangement of PIRs, (b) the physical map of whole node, (c) the sketch map of the sampling areas of the node in non-ideal case
Fig. 5. The error analysis of the two nodes human localization equipment (a) Plane diagram of error analysis, (b) 3D diagram of error analysis.
Fig. 6. The PIR states determined processes (a) the original signal, (b) denoise the signal by using wavelet soft threshold noise reduction method, (c) calculate the absolute values of the signal, (d) smoothing the signal, (e) set a threshold. If the amplitude of the signal larger than the threshold, set the amplitude to ‘1’, else to ‘0’, (f) further optimize the signal to determine the state of the PIR.
Fig. 7. The pyroelectric infrared human localization node and the experiment result (a) the pyroelectric infrared human localization node, (b) the predefined route and estimated route.
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Qin-Qin WU, Xi-Cai LI, Yuan-Qing WANG, Shu-Ping REN. Human localization technology based on the pyroelectric infrared sensors[J]. Journal of Infrared and Millimeter Waves, 2020, 39(2): 228
Category: Photoelectric Technology and Application
Received: May. 24, 2019
Accepted: --
Published Online: Apr. 29, 2020
The Author Email: Yuan-Qing WANG (yqwang@nju.edu.cn)