Human localization technology based on the pyroelectric infrared sensors
Received:May 24, 2019  Revised:April 03, 2020  download
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Author NameAffiliationE-mail
WU Qin-Qin School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China wuqinqingreat@sina.com 
LI Xi-Cai School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China  
WANG Yuan-Qing School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
Key Laboratory of Intelligent Optical Sensing and Manipulation, Ministry of Education,Nanjing University, Nanjing 210023, China 
yqwang@nju.edu.cn 
REN Shu-Ping JiangXi Academy of Sciences, Nanchang 330000, China.  
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.
keywords:pyroelectric infrared sensor  human position localization  least square estimation
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Copyright:《Journal of Infrared And Millimeter Waves》