  This paper proposes an edge computing system that enables estimating physical
activities of people in offices from time-series point-cloud data, obtained by
using a light-detection-and-ranging (LIDAR) sensor network. The paper presents
that the proposed system successfully constructs the model for estimating the
number of typed characters from time-series point-cloud data, through an
experiment using real LIDAR sensors.
