Robust Respiration Detection Based on Intelligent Reflecting Surfaces

被引:0
|
作者
Wu, Yun [1 ]
Zhang, Dongheng [1 ,3 ]
Zhang, Ganlin [1 ]
Xie, Xuecheng [1 ]
Zhan, Fengquan [1 ]
Chen, Yan [1 ,2 ,3 ]
机构
[1] Univ Sci & Technol China, Sch Cyber Sci & Technol, Hefei, Peoples R China
[2] Hefei Comprehens Natl Sci Ctr, Inst Artificial Intelligence, Hefei, Peoples R China
[3] Hefei Comprehens Natl Sci Ctr, Inst Dataspace, Hefei, Peoples R China
来源
2023 IEEE INTERNATIONAL CONFERENCES ON INTERNET OF THINGS, ITHINGS IEEE GREEN COMPUTING AND COMMUNICATIONS, GREENCOM IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING, CPSCOM IEEE SMART DATA, SMARTDATA AND IEEE CONGRESS ON CYBERMATICS,CYBERMATICS | 2024年
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Respiration detection; Intelligent Reflecting Surfaces; WiFi sensing; Commodity WiFi device; WIFI;
D O I
10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics60724.2023.00030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In recent years, contactless respiratory monitoring using commercial WiFi devices has garnered great interest. However, existing methods typically require the person to directly face the WiFi device. When the body is oriented sideways or with the back toward the device, the signals reflected by the chest cavity are weakened, making respiratory monitoring difficult. To address this problem, we propose a novel respiratory monitoring system based on intelligent reflecting surfaces (IRS). The system utilizes the IRS to manipulate wireless signal propagation in the environment and enhance body reflection, finally achieving posture-resilient respiratory monitoring. Moreover, the system is easy to deploy without requiring prior knowledge of exact antenna locations or environmental features. Experiments validate that, compared to previous methods, the system significantly improves respiratory monitoring across various postures in the indoor environment.
引用
收藏
页码:30 / 37
页数:8
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