Area Occupancy Counting Through Sparse Structural Vibration Sensing

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 act...

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Veröffentlicht in:IEEE pervasive computing 2019-01, Vol.18 (1), p.28-37
Hauptverfasser: Pan, Shijia, Mirshekari, Mostafa, Fagert, Jonathon, Ruiz, Carlos, Noh, Hae Young, Zhang, Pei
Format: Artikel
Sprache:eng
Schlagworte:
Buildings
Error detection
Estimation
Legged locomotion
Monitoring
Occupancy
Sensors
Structural vibration
Vibrations
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Zusammenfassung: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.
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2018.2873574