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An Adaptive Person/Vehicle Detection Algorithm for PIR Sensor  

Kim, Young-Man (국민대학교 컴퓨터공학부)
Park, Jang-Ho (국민대학교 컴퓨터공학부)
Kim, Li-Hyung (국방과학연구소)
Park, Hong-Jae (국민대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.15, no.8, 2009 , pp. 577-581 More about this Journal
Abstract
Recently, various new services based on ubiquitous computing and networking have been developed. In this paper, we contrive Adaptive PIR(Pyroelectric Infrared Radiation) Detection Algorithm (APIDA), a PIR-sensor based digital signal processing algorithm, that detects the movement of an invading object by the recognition of heat change in the detection area, since the object like person or car emits heat(i.e., infrared radition), We devised APIDA as a highly reliable signal processing algorithm that increases the successful detection rate and decreases the false alarm rate in the intruding object detection. According to performance evaluation experiment, APIDA shows the successful detection rate of 90% and low false alarm in the plain area.
Keywords
PIR sensor; digital signal processing; wireless sensor network;
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1 이노복, "u-Defense를 위한 유비쿼터스 기술 동향", 한국정보산업연합회 정보산업지, 2006권, 5호, pp.30-33, 2006. 9   과학기술학회마을
2 Exscal web site, http://cast.cse.ohio-state.edu/exscal
3 MSO410CA, http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MSP410CA_Datasheet.pdf
4 Lin Gu, John A. Stankovic, et al, "Lightweight Detection and Classification for Wireless Sensor Networks in Realistic Environments," SenSys05, pp.205-217, 2005
5 Mark Weiser, "The computer for the 21st century," IEEE Pervasive computing, mobile and ubiquitous systems, vol.1, no.1, pp.18-25, (reprinted with per-mission Copyright 1991 by Scientific Anerican inc), IEEE Computer Society, 2002. 2   DOI   ScienceOn
6 Anish Arora, Emre Ertin, Sandip Bapat, Vinayak Naik, et al, "ExScal: Elements of an Extreme Scale Wireless Sensor Network," IEEE RTCSA 05, pp.102-108, 2005. 8   DOI