Area Occupancy Counting Through Sparse Structural Vibration Sensing

This paper presents an indoor area occupancy counting system utilizing the ambient structural vibration induced by pedestrian footsteps. Our system achieves 99.55% accuracy in pedestrian footsteps detection, 0.2 people mean estimation error in pedestrian traffic estimation, and 0.2 area occupant activity estimation error in real-world uncontrolled experiments.