CSI Ratio with Coloring-Assisted Learning for NLoS Motionless Human Presence Detection

Chia Che Hsieh, An Hung Hsiao, Chun Jie Chiu, Kai Ten Feng

研究成果: Conference contribution同行評審

摘要

Device-free human presence detection via infrared sensors or cameras has been well-developed in the past years. However, the infrared-based solutions suffer from misdetection problems with standstill people; while camera-based systems incur personal privacy issues. In recent years, wireless signals were adopted for presence detection, and channel state information (CSI) is one of the most popular information to achieve higher detection accuracy. Nonetheless, existing methods result in misclassification under non-line-of-sight (NLoS) static scenarios when the person stands still in the corner of the room. In this paper, based on multi-antenna Wi-Fi access points, we proposed the CSI ratio with coloring-assisted learning presence detection (CALPD) system that can detect human presence even when the person is motionless in the NLoS scenarios. The CSI ratio between antennas is illustrated on the complex plane to visualize the classification differences. Next, the RGB images are generated based on the proposed coloring-based classifier in order to distinguish and predict the final results. Field experimental results show that our proposed CALPD scheme outperforms other existing methods by achieving higher detection accuracy, especially under NLoS static scenarios.

原文English
主出版物標題2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665482431
DOIs
出版狀態Published - 2022
事件95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland
持續時間: 19 6月 202222 6月 2022

出版系列

名字IEEE Vehicular Technology Conference
2022-June
ISSN(列印)1550-2252

Conference

Conference95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
國家/地區Finland
城市Helsinki
期間19/06/2222/06/22

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