A human body positioning system with pyroelectric infrared sensor

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.

[1]  Qi Hao,et al.  Multiple Human Tracking and Identification With Wireless Distributed Pyroelectric Sensor Systems , 2009, IEEE Systems Journal.

[2]  Qi Liu,et al.  A novel low-cost and small-size human tracking system with pyroelectric infrared sensor mesh network , 2014 .

[3]  Yang Wei,et al.  A new Pyroelectric Sensor System for Target Detection and Recognition , 2015 .

[4]  Ramakant Nevatia,et al.  Tracking multiple humans in complex situations , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Toufik Ahmed,et al.  On Energy Efficiency in Collaborative Target Tracking in Wireless Sensor Network: A Review , 2013, IEEE Communications Surveys & Tutorials.

[6]  Ji Xiong,et al.  Tracking and Recognition of Multiple Human Targets Moving in a Wireless Pyroelectric Infrared Sensor Network , 2014, Sensors.

[7]  Ji Xiong,et al.  Fusion of Multiple Pyroelectric Characteristics for Human Body Identification , 2014, Algorithms.

[8]  Zhiwen Liu,et al.  Biquaternion Capon beamformer using four-component vector-sensor arrays , 2015, Int. J. Sens. Networks.

[9]  Ramakant Nevatia,et al.  Segmentation and Tracking of Multiple Humans in Crowded Environments , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Yang Xiao,et al.  Monitoring Space Segmentation in Deploying Sensor Arrays , 2014, IEEE Sensors Journal.

[11]  Dan Yang,et al.  Indoor human localization using PIR sensors and accessibility map , 2015, 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER).

[12]  R. Venkatesha Prasad,et al.  PIR sensors: characterization and novel localization technique , 2015, IPSN.

[13]  Ping Song,et al.  Indoor Human Detection and Monitoring System Using PIR Wireless Sensors Array , 2014 .

[14]  Yang Xiao,et al.  Signature Maximization in Designing Wireless Binary Pyroelectric Sensors , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.