Human Presence Detection via Deep Learning of Passive Radio Frequency Data
2019 IEEE National Aerospace and Electronics Conference (NAECON)(2019)
摘要
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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关键词
human presence,deep learning,passive radio frequency,software defined radio
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