WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces
Since 2010, the utilization of commercial WiFi devices for contact-free respiration monitoring has garnered significant attention. However, existing WiFi-based respiration detection methods are susceptible to constraints imposed by hardware limitations and require the person to directly face the WiF...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2025-02-01
|
| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR24105 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832591743484166144 |
|---|---|
| author | Yun WU Dongheng ZHANG Ganlin ZHANG Xuecheng XIE Fengquan ZHAN Yan CHEN |
| author_facet | Yun WU Dongheng ZHANG Ganlin ZHANG Xuecheng XIE Fengquan ZHAN Yan CHEN |
| author_sort | Yun WU |
| collection | DOAJ |
| description | Since 2010, the utilization of commercial WiFi devices for contact-free respiration monitoring has garnered significant attention. However, existing WiFi-based respiration detection methods are susceptible to constraints imposed by hardware limitations and require the person to directly face the WiFi device. Specifically, signal reflection from the thoracic cavity diminishes when the body is oriented sideways or with the back toward the device, leading to complexities in respiratory monitoring. To mitigate these hardware-associated limitations and enhance robustness, we leveraged the signal-amplifying potential of Intelligent Reflecting Surfaces (IRS) to establish a high-precision respiration detection system. This system capitalizes on IRS technology to manipulate signal propagation within the environment to enhance signal reflection from the body, finally achieving posture-resilient respiratory monitoring. Furthermore, the system can be easily deployed without the prior knowledge of antenna placement or environmental intricacies. Compared with conventional techniques, our experimental results validate that this system markedly enhances respiratory monitoring across various postural configurations in indoor environments. |
| format | Article |
| id | doaj-art-f8667aab736a46f7b5c35eddcb5e7bfa |
| institution | Kabale University |
| issn | 2095-283X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj-art-f8667aab736a46f7b5c35eddcb5e7bfa2025-01-22T06:12:25ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2025-02-0114118920310.12000/JR24105R24105WiFi-based Respiration Detection Aided by Intelligent Reflecting SurfacesYun WU0Dongheng ZHANG1Ganlin ZHANG2Xuecheng XIE3Fengquan ZHAN4Yan CHEN5School of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, ChinaSchool of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, ChinaSchool of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, ChinaSchool of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, ChinaSchool of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, ChinaSchool of Cyber Science and Technology, University of Science and Technology of China, Hefei 230026, ChinaSince 2010, the utilization of commercial WiFi devices for contact-free respiration monitoring has garnered significant attention. However, existing WiFi-based respiration detection methods are susceptible to constraints imposed by hardware limitations and require the person to directly face the WiFi device. Specifically, signal reflection from the thoracic cavity diminishes when the body is oriented sideways or with the back toward the device, leading to complexities in respiratory monitoring. To mitigate these hardware-associated limitations and enhance robustness, we leveraged the signal-amplifying potential of Intelligent Reflecting Surfaces (IRS) to establish a high-precision respiration detection system. This system capitalizes on IRS technology to manipulate signal propagation within the environment to enhance signal reflection from the body, finally achieving posture-resilient respiratory monitoring. Furthermore, the system can be easily deployed without the prior knowledge of antenna placement or environmental intricacies. Compared with conventional techniques, our experimental results validate that this system markedly enhances respiratory monitoring across various postural configurations in indoor environments.https://radars.ac.cn/cn/article/doi/10.12000/JR24105respiration detectionintelligent reflecting surfaces (irs)wifi sensingcommodity wifi devicemulti directional |
| spellingShingle | Yun WU Dongheng ZHANG Ganlin ZHANG Xuecheng XIE Fengquan ZHAN Yan CHEN WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces Leida xuebao respiration detection intelligent reflecting surfaces (irs) wifi sensing commodity wifi device multi directional |
| title | WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces |
| title_full | WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces |
| title_fullStr | WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces |
| title_full_unstemmed | WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces |
| title_short | WiFi-based Respiration Detection Aided by Intelligent Reflecting Surfaces |
| title_sort | wifi based respiration detection aided by intelligent reflecting surfaces |
| topic | respiration detection intelligent reflecting surfaces (irs) wifi sensing commodity wifi device multi directional |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR24105 |
| work_keys_str_mv | AT yunwu wifibasedrespirationdetectionaidedbyintelligentreflectingsurfaces AT donghengzhang wifibasedrespirationdetectionaidedbyintelligentreflectingsurfaces AT ganlinzhang wifibasedrespirationdetectionaidedbyintelligentreflectingsurfaces AT xuechengxie wifibasedrespirationdetectionaidedbyintelligentreflectingsurfaces AT fengquanzhan wifibasedrespirationdetectionaidedbyintelligentreflectingsurfaces AT yanchen wifibasedrespirationdetectionaidedbyintelligentreflectingsurfaces |