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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    Title :

    Human Presence Detection via Deep Learning of Passive Radio Frequency Data


    Contributors:
    Liu, Jenny (author) / Vakil, Asad (author) / Ewing, Robert (author) / Shen, Xiaoping (author) / Li, Jia (author)


    Publication date :

    2019-07-01


    Size :

    2089702 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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