Abstract
It is very effective to extract human behavior and control building facilities based on the behavior in smart buildings that should provide safe, comfortable and convenient environment with energy saving. There are many works to measure traffic of pedestrians using sensor networks with low-power-consumption and inexpensive sensors detecting pedestrians. We propose a novel method to detect numbers and directions of pedestrians walking through a one-person gate with a pyroelectric infrared sensor. The dual element type sensor with Fresnel lens having a pair of detecting areas is attached on a ceiling. Our algorithm can detect the numbers and directions based on patterns and amplitude ratios of successive sensor signal peaks for various passing movements not only walking but also running, standing for a second, filing in vicinity, and passing each other in various temperature conditions. We confirmed that our method could detect them 100% correctly for walking, jogging and filing in vicinity 30cm and over through experiments. Furthermore it could detect them 100% correctly for walking and 90% correctly on average for various passing movements in actual environment experiments in class rooms and a poster session venue.
