Human presence detection is a critical field in certain circumstances such as natural disasters and surveillance systems. This paper presents a new approach that utilizes software defined radio to passively collect radio frequency data and applying deep learning neural network to detect human presence. It provides a low cost and environment friendly solution. The long term goal of this study is to develop a deep learning based spectrum monitoring system.


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    Titel :

    Human Presence Detection via Deep Learning of Passive Radio Frequency Data


    Beteiligte:
    Liu, Jenny (Autor:in) / Vakil, Asad (Autor:in) / Ewing, Robert (Autor:in) / Shen, Xiaoping (Autor:in) / Li, Jia (Autor:in)


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    2089702 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch