Method for Detecting Sitting-and-Moving Behaviors and Face-to-Face Communication Using Laser Scanners

A pedestrian tracking system based on highly accurate laser scanners is an effective method for understanding the usage of the facility-spaces. However, it is difficult to apply them to the practical workplace, since horizontal laser scanners cannot detect workers while they are sitting. In this paper, a method for estimating the sitting-and-moving behavior and face-to-face communication of workers was proposed by utilizing the concept involving behavioral tags to trajectory data. By applying the proposed method to the real observation data taken from office-workers behavioral survey, we demonstrated the proposed model's usefulness.