A detection method and system for human motion and respiration based on csi signal in wi-fi

A detection method and action technology, applied in the evaluation of respiratory organs, informatics, medical informatics, etc., can solve the problem of not being able to accurately detect the state of the human body, and achieve the effect of good accuracy and high accuracy

Active Publication Date: 2020-04-14
常州百芝龙智慧科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Embodiments of the present invention provide a method and system for detecting human body movement and breathing based on CSI signals in Wi-Fi, aiming to solve the problem that the existing solutions only detect breathing parameters, which cannot satisfy the accurate detection of human body state

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  • A detection method and system for human motion and respiration based on csi signal in wi-fi
  • A detection method and system for human motion and respiration based on csi signal in wi-fi
  • A detection method and system for human motion and respiration based on csi signal in wi-fi

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Embodiment Construction

[0034] One or more embodiments, such as figure 1 As shown, the multi-person motion and breathing detection method based on CSI signals in Wi-Fi mainly includes the following steps: 1. Collect data; 2. Data integration; 3. Filtering and standardization; 4. Model building; 5. Applied models for human behavior and breath recognition.

[0035] One or more embodiments, such as figure 2 As shown, the steps for identifying the CSI signal are:

[0036] 1. Collect raw data.

[0037] 2. Processing data.

[0038] Because the change of CSI is very small and contains environmental noise; because this method will retain part of the noise data for modeling, it uses two Butterworth filters for filtering; because the transmission power of different Wi-Fi devices has a certain impact on CSI data , and in order to speed up the modeling speed and improve the accuracy, it is necessary to normalize the data.

[0039] 3. Input the processed data into the model for classification.

[0040] The...

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Abstract

A CSI signal in Wi-Fi-based human body movement and respiration detection method and system, the detection method comprises the following steps: extracting CSI signal from the indoor Wi-Fi wireless signal, and acquiring the CSI signal when there is nobody indoor and the CSI signal data of the indoor human body at different positions and in different postures and different respiration; pre-processing all the acquired CSI signal data; in the CSI signal data, marking the movement data of the human body respiration to establish a respiration recognition module; in the CSI signal data, marking the data of the human body posture to establish a behavior recognition module; and dividing monitoring areas according to the changes of CSI at different positions in the CSI signal data to establish a space monitoring module.

Description

technical field [0001] The invention belongs to the technical field of smart home, and in particular relates to a method and system for detecting human motion and respiration based on CSI signals in Wi-Fi. Background technique [0002] In recent years, various radio waves have been applied to smart hardware devices to collect users' health and fitness data, etc. In smart home life, users hope to obtain their own health data without carrying any electronic sensing devices. Such a non-invasive solution is being developed more. On the other hand, technologies such as indoor positioning and fingerprint identification based on CSI (ChannelState Information, channel state information) signals in WiFi are gradually being accepted by people. Through the analysis of some CSI signal data, it can be concluded that CSI can display very rich subcarrier information and show a relatively high multipath resolution capability, especially for small changes in non-line-of-sight signals. CSI ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/113A61B5/08
CPCA61B5/08A61B5/113A61B5/7203A61B5/725A61B5/7267A61B5/0022A61B5/11G16H40/67G16H50/70
Inventor 叶伟
Owner 常州百芝龙智慧科技有限公司
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