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Human movement and breath detecting method and system based on CSI signal in Wi-Fi

A detection method, a technology of human body movement, applied in the evaluation of respiratory organs, informatics, medical informatics, etc., can solve problems such as the inability to meet the precise detection of human body status, and achieve the effect of good accuracy and high accuracy

Active Publication Date: 2018-09-21
常州百芝龙智慧科技有限公司
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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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Embodiment Construction

[0034] One or more embodiments, such as figure 1 As shown, the multi-person motion and breathing detection method based on the CSI signal 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] ...

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Abstract

The invention discloses a multi-people movement and breath detecting method based on a CSI signal in the Wi-Fi. The detecting method comprises the following steps that a CSI signal is extracted from the wireless signal of the indoor Wi-Fi, CSI signal data is acquired under the circumstance that nobody is in room, and CSI signal data of different movement postures and breath of human bodies at different positions in the room is acquired; preprocessing is carried out on all the CSI signal data; in the CSI signal data, movement data of human body breath is marked, which is used for constructing abreath identifying model; in the CSI signal data, human body posture data is marked, which is used for constructing a behavior identifying model; in the CSI signal data, according to CSI changes at different positions, monitoring areas are divided, and a space monitoring model is constructed.

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 Applications(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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