Human Motion Sensing based on a Microwave Photonic Doppler Radar and a Deep Neural Network

被引：0
|
作者：
Yang, Yuanqi [1 ,2 ]
Tang, Zhenzhou [1 ]
Xu, Zhongyang [1 ]
Yu, Cui [2 ]
Pan, Shilong [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Minist Educ, Key Lab Radar Imaging & Microwave Photon, Nanjing, Peoples R China
[2] Natl Key Lab Applicat Specif Integrated Circuit, Shijiazhuang, Hebei, Peoples R China
来源：
2021 INTERNATIONAL TOPICAL MEETING ON MICROWAVE PHOTONICS (MWP) | 2021年
基金：
中国国家自然科学基金;
关键词：
Motion sensing; microwave photonics; Doppler radar; deep neural network; CLASSIFICATION;
D O I：
10.1109/MWP53341.2021.9639388
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 human motion sensing system based on a microwave photonic Doppler radar and a deep neural network is proposed and experimentally demonstrated. The experimental results showed that an average confidence of 95% is achieved in classifying seven different kinds of human activities.
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页数：4
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