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  • Area Occupancy Counting Thr...
    Pan, Shijia; Mirshekari, Mostafa; Fagert, Jonathon; Ruiz, Carlos; Noh, Hae Young; Zhang, Pei

    IEEE pervasive computing, 2019-Jan.-March, 2019-1-00, 20190101, Letnik: 18, Številka: 1
    Journal Article

    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.