详细信息
Analysis of a human detection system based on electrostatic detection ( EI收录)
文献类型:会议论文
英文题名:Analysis of a human detection system based on electrostatic detection
作者:Lei, Han[1]; Fang, Chen[2]; Yueqin, Li[3]
第一作者:Lei, Han
通讯作者:Lei, H.
机构:[1] State Key Laboratory Explosion Science and Technology, Beijing Institute of Technology, Beijing, China; [2] Department of Computing, Curtin University of Technology, Perth, Australia; [3] Information College, Beijing Union University, Beijing 100101, China
第一机构:State Key Laboratory Explosion Science and Technology, Beijing Institute of Technology, Beijing, China
会议论文集:Proceedings - 2010 International Conference on Intelligent System Design and Engineering Application, ISDEA 2010
会议日期:13 October 2010 through 14 October 2010
会议地点:Changsha, Hunan
语种:英文
外文关键词:Electric fields - Electric potential - Electrostatics - Error detection - Intelligent systems
摘要:Electrostatic detection devices can detect humans by measuring changes in an electrostatic field to indicate the precise location and direction of the subject entity. To analyse the principle of the electrostatic detection system, the mechanisms for generating the human beings' bioelectrical phenomenon are analysed. The human being is regarded as a point charge and constitutes a system with the obstacle and the air. Based on the principle of static induction, the human is detected through the obstacle. The distribution of the human body's electric field is studied using the image method. And the mathematical formula of the point charge's electric potential in this system is developed. Accordingly, the mathematical model of this human detection system through the medium is established and tested by using MATLAB. And the detection principle of electrostatic detector through medium is introduced. It is concluded that the thickness and dielectric constant of the medium are in an inverse relationship with the goal's electric-field intensity through the medium. It is proved by the experiment that it is feasible using electrostatic detector to detect human beings through the medium. ? 2010 IEEE.
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