使用CSI和大数据分析的无设备活动识别:调查

Sang-Chul Kim
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引用次数: 11

摘要

本文提出了一种利用大数据分析技术CSI来识别人体运动和区分人的技术。CSI用于开发MIMO技术。我们测量在WiFi设备之间通信期间交换的子载波的波形,并创建CSI信息,然后将其用作大数据算法的输入,并提供基于无设备的信息,可以提取有关重复人类行为的特征信息。我们提出了一种利用深度学习算法提取CSI大数据来识别人体运动和区分人的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Device-free activity recognition using CSI & big data analysis: A survey
This paper proposes a technique to recognize human motion and distinguish people using CSI, a big data analysis technique. CSI is used to develop MIMO technology. We measure the waveform of the subcarriers that are exchanged during communication between WiFi devices, and create CSI information, which is then used as an input for a big data algorithm and provides device-free based information that can extract characteristic information about repeated human behavior. We propose a technique to recognize human motion and distinguish people using the Deep Learning algorithm for extracted CSI big data.
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