Academic Journal of Computing & Information Science, 2021, 4(7); doi: 10.25236/AJCIS.2021.040709.
Xuneng Tong, Wufeng Wang, Zhigang Han
Integrated Circuit Engineering Department, Tongji University, Shanghai, China
In order to use the PIR sensor to position the human body more effectively, this article proposes a human target positioning system based on multiple sensors layouts and GA-BP neural network. On the hardware, an PIR peripheral circuit is designed to detect, amplify, and filter infrared signals. On the software, this article uses genetic algorithm to optimize BP neural network, and designs a trilateration algorithm to convert the distances from the three sensors to human into coordinates. The experimental results show that the GA-BP neural network converges faster, the mean square error of the X-axis and Y-axis are reduced by 90.3% and 81.9%, and the positioning error is reduced by 0.24m.
PIR, Human target positioning, amplifying and filtering circuit, GA-BP neural network, trilateration
Xuneng Tong, Wufeng Wang, Zhigang Han. Human Positioning System based on Pyroelectric Infrared Sensor and GA-BP Neural Network. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 7: 59-66. https://doi.org/10.25236/AJCIS.2021.040709.
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