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.