Device-free multiple presence detection using CSI with machine learning methods

Yu Ming Huang, An Hung Hsiao, Chun Jie Chiu, Kai Ten Feng, Po Hsuan Tseng

研究成果: Conference contribution

摘要

Present detection can remotely detect whether a person appears in specific scene. Channel state information (CSI) can provide high precision environment detection by its characteristic, and this technology can often be adopted for indoor localization or presence detection nowadays. We propose a device-free multiple presence detection system by using particular preprocessing method for our system, and a two-stage learning system combining convolutional denoising autoencoder (CDAE) and neural network (NN) to classify different cases of presence detection. The first stage contains several one-dimensional convolutional hidden layers which can denoise and reduce the dimension of data. The second stage classifies the cases for the purpose of presence detection. The proposed system can detect the presence of multiple persons at hotspots with high estimation accuracy.

原文English
主出版物標題2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728112206
DOIs
出版狀態Published - 九月 2019
事件90th IEEE Vehicular Technology Conference, VTC 2019 Fall - Honolulu, United States
持續時間: 22 九月 201925 九月 2019

出版系列

名字IEEE Vehicular Technology Conference
2019-September
ISSN(列印)1550-2252

Conference

Conference90th IEEE Vehicular Technology Conference, VTC 2019 Fall
國家United States
城市Honolulu
期間22/09/1925/09/19

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