Contactless Monitoring and Classification of Human Motion Activities by using SFCW Radar

被引：0

作者：

Nghia Tran ^{[1
]}

Kilic, Ozlem ^{[1
]}

Nahar, Sabikun ^{[2
]}

Ren, Lingyun ^{[2
]}

Wang, Haofei ^{[2
]}

Fathy, Aly E. ^{[2
]}

机构：

[1] Catholic Univ Amer, Dept Elect Engn & Comp Sci, Washington, DC 20064 USA

[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN USA

来源：

2016 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM | 2016年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A contactless monitoring system for daily human activities using a stepped-frequency continuous wave (SFCW) is investigated in this paper. To detect and classify the daily human activities in a fast and accurate fashion, the phase information of the received signals is processed to determine the high-resolution range profile (HRRP), the instantaneous velocity, acceleration, and jerk. Preliminary simulation and experimental results demonstrate the potential of the proposed system for better monitoring and classifying of daily human activities using SFCW radar.

引用

页码：883 / 884

页数：2

共 4 条

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Garcia-Rubia, Jose M.
Kilic, Ozlem
Vinh Dang
Quang Nguyen
Nghia Tran
[J]. PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2014, 148 : 1 - 14
[3] Analysis of an Indoor Biomedical Radar-Based System for Health Monitoring
Mercuri, Marco
Soh, Ping Jack
Pandey, Gokarna
Karsmakers, Peter
Vandenbosch, Guy A. E.
Leroux, Paul
Schreurs, Dominique
[J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2013, 61 (05) : 2061 - 2068
[4] Yarovoy AG, 2006, IEEE AERO EL SYS MAG, V21, P10

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