A human body positioning system with pyroelectric infrared sensor. (2016)

• Record Type: Journal Article
• Authors: Zhou, Wanchun; Li, Fangmin; Li, Deng; Liu, Xinhua; Li, Boya
• Is Part Of: International journal of sensor networks. Volume 21:Number 2(2016)
• Page Start: 108
• Page End: 115
• Publication Date: 2016
• Subjects: pyroelectric infrared sensors -- human body positioning -- Kalman filter -- radiation signals -- external interference -- body velocity -- sensor distance -- tracking errors -- human tracking; Sensor networks -- Periodicals; 681.2
• Languages: English
• ISSNs: 1748-1279

Abstract

This paper aims to improve the accuracy of pyroelectric infrared sensor-based human body positioning system by studying the characteristics of the human body radiation signal. We designed the amplifying and filtering circuits to capture the signals. We also built a human body positioning system. Considering the impact of external interference, the body velocity, the distance between sensors and human target, we propose a new algorithm for the system to interpret the target information in the sensing area considering several impacts. Besides, in the system, the sensing area was divided into smaller grids to make human positioning more accurate. We evaluate the proposed algorithm based on real test-bed and we repeated the experiments for 480 times and validated that the proposed human positioning system can track people with the tracking error for only 0.46 m.