Human localization technology based on the pyroelectric infrared sensors
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Affiliation:

1.School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China;2.Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education,Nanjing University, Nanjing 210023, China;3.JiangXi Academy of Sciences, Nanchang 330000, China.

Clc Number:

TN219

Fund Project:

the National Key R&D Plan 2016YFB0401500;R&D Plan of Jiangsu Science and Technology Department BE2016173;Program B for Outstanding PhD Candidate of Nanjing UniversitySupported by the National Key R&D Plan (2016YFB0401500), R&D Plan of Jiangsu Science and Technology Department (BE2016173), and Program B for Outstanding PhD Candidate of Nanjing University

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    Abstract:

    A field of views of pyroelectric infrared sensors modulation strategy were proposed. The strategy can improve the human localization resolution, and it will not reduce the detection distance of pyroelectric infrared sensor. For the strategy, the field of views of pyroelectric infrared sensors are modulated by a mask. And the modulated field of views overlap and interleave with each other to form some sampling areas. In order to verify the proposed field of views modulation strategy, the human localization node which includes nine pyroelectric infrared sensors is fabricated. The modulated degree of the field of views of each pyroelectric infrared sensor is 36°. The degree of each sampling area is 4°. If the human moves in a sampling area, the corresponding pyroelectric infrared sensors will be triggered. The human position can be localized by using at least two nodes. According to the states of the pyroelectric infrared sensors, the human position can be estimated. In the experiment, two nodes are set in a 600 cm×600 cm square area, the theoretical error is analyzed by using least square estimation. The theoretical maximum error of the two nodes human localization equipment in a 600 cm×600 cm square area is about 70 cm. Eight human positions are estimated in experiments, and the estimation route is formed by connecting all the estimated positions. The estimation route is close to the predefined route. The minimum and maximum estimation errors are about 4.42 cm and 16.91 cm respectively.

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WU Qin-Qin, LI Xi-Cai, WANG Yuan-Qing, REN Shu-Ping. Human localization technology based on the pyroelectric infrared sensors[J]. Journal of Infrared and Millimeter Waves,2020,39(2):228~234

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History
  • Received:May 24,2019
  • Revised:April 03,2020
  • Adopted:November 25,2019
  • Online: March 31,2020
  • Published: