Human breathing perception system based on Wi-Fi subcarrier mutual information
The unpredictable environmental changes cause large fluctuations in Wi-Fi signals, and it is difficult to quantify the static and behaviorally-aware dynamic components in the subcarriers, so it is not possible to accurately portray the fluctuating form of dynamic breathing characteristics.Based on t...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024009/ |
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| _version_ | 1841540081555341312 |
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| author | Ying LIU Mengyuan HU Zhihong QIAN |
| author_facet | Ying LIU Mengyuan HU Zhihong QIAN |
| author_sort | Ying LIU |
| collection | DOAJ |
| description | The unpredictable environmental changes cause large fluctuations in Wi-Fi signals, and it is difficult to quantify the static and behaviorally-aware dynamic components in the subcarriers, so it is not possible to accurately portray the fluctuating form of dynamic breathing characteristics.Based on this, a subcarrier mutual information breathing perception (SMIBP) system was proposed.Firstly, a form of inscribing dynamic component information (DCI) was proposed, and mutual information theory was utilized to extract the dynamic component information representing respiration in subcarriers.Then, analytic hierarchy process (AHP) was used to combine the subcarriers to maximize the dynamic characteristics of the respiratory signals to obtain the reconstructed DCI sensory base signals.Finally, the respiration rate was obtained by combining the wavelet transform and peak detection method, which revealed of a theoretical pathway representing the dynamic component of human respiration.Simulation results show that the proposed system can better characterize the dynamic breathing component in each subcarrier, and can significantly improve the sensing accuracy and range of Wi-Fi for small-scale actions in different scenarios. |
| format | Article |
| id | doaj-art-e83665f767154aed9a33d9c3f504ffb1 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e83665f767154aed9a33d9c3f504ffb12025-01-14T06:22:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-02-014524025359383600Human breathing perception system based on Wi-Fi subcarrier mutual informationYing LIUMengyuan HUZhihong QIANThe unpredictable environmental changes cause large fluctuations in Wi-Fi signals, and it is difficult to quantify the static and behaviorally-aware dynamic components in the subcarriers, so it is not possible to accurately portray the fluctuating form of dynamic breathing characteristics.Based on this, a subcarrier mutual information breathing perception (SMIBP) system was proposed.Firstly, a form of inscribing dynamic component information (DCI) was proposed, and mutual information theory was utilized to extract the dynamic component information representing respiration in subcarriers.Then, analytic hierarchy process (AHP) was used to combine the subcarriers to maximize the dynamic characteristics of the respiratory signals to obtain the reconstructed DCI sensory base signals.Finally, the respiration rate was obtained by combining the wavelet transform and peak detection method, which revealed of a theoretical pathway representing the dynamic component of human respiration.Simulation results show that the proposed system can better characterize the dynamic breathing component in each subcarrier, and can significantly improve the sensing accuracy and range of Wi-Fi for small-scale actions in different scenarios.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024009/dynamic component informationCSIcontactless respiratory monitoringanalytic hierarchy process |
| spellingShingle | Ying LIU Mengyuan HU Zhihong QIAN Human breathing perception system based on Wi-Fi subcarrier mutual information Tongxin xuebao dynamic component information CSI contactless respiratory monitoring analytic hierarchy process |
| title | Human breathing perception system based on Wi-Fi subcarrier mutual information |
| title_full | Human breathing perception system based on Wi-Fi subcarrier mutual information |
| title_fullStr | Human breathing perception system based on Wi-Fi subcarrier mutual information |
| title_full_unstemmed | Human breathing perception system based on Wi-Fi subcarrier mutual information |
| title_short | Human breathing perception system based on Wi-Fi subcarrier mutual information |
| title_sort | human breathing perception system based on wi fi subcarrier mutual information |
| topic | dynamic component information CSI contactless respiratory monitoring analytic hierarchy process |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024009/ |
| work_keys_str_mv | AT yingliu humanbreathingperceptionsystembasedonwifisubcarriermutualinformation AT mengyuanhu humanbreathingperceptionsystembasedonwifisubcarriermutualinformation AT zhihongqian humanbreathingperceptionsystembasedonwifisubcarriermutualinformation |