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Data processing method and device, electronic equipment and storage medium

A data processing and data technology, applied in the computer field, can solve the problems of huge hardware resources and costs, and achieve the effect of reducing complexity, hardware resources and costs

Pending Publication Date: 2021-08-06
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the hardware resources and cost required by this method are huge

Method used

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  • Data processing method and device, electronic equipment and storage medium
  • Data processing method and device, electronic equipment and storage medium
  • Data processing method and device, electronic equipment and storage medium

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Embodiment 1

[0032] Figure 1A It is a first schematic flowchart of a data processing method provided in the embodiment of the present application; Figure 1B It is a schematic diagram of radar time-frequency data provided by the embodiment of this application. This embodiment is applicable to the situation where the sleep activity of the human body is identified based on the radar time-frequency data, and the sleep action type corresponding to the sleep activity of the human body is obtained. A data processing method provided in this embodiment can be executed by the data processing device provided in the embodiment of the present application, and the device can be realized by means of software and / or hardware, and integrated into an electronic device that executes the method.

[0033] see Figure 1A , the method of this embodiment includes but not limited to the following steps:

[0034] S110. Using a preset noise threshold to process the initial radar time-frequency data corresponding ...

Embodiment 2

[0055] figure 2 It is a second schematic flowchart of a data processing method provided in the embodiment of the present application. The embodiment of the present application is optimized on the basis of the above embodiments, and the specific optimization is as follows: a detailed explanation of the process of classifying and identifying target radar time-frequency data is added.

[0056] Before introducing this embodiment, the method for detecting human sleep activity events is described: first, the radar signal is sampled by hardware to obtain the radar echo signal; then the radar echo signal is subjected to static clutter suppression; finally, the clutter suppression The final signal is transformed into a distance-frequency matrix X(f, n) using Fourier transform, which can be expressed as:

[0057]

[0058] Among them, f represents the frequency; y(m, n) is the signal after clutter suppression; m is the frame sequence of the radar signal; n is the sampling point; e i...

Embodiment 3

[0089] Figure 3A A third schematic flowchart of a data processing method provided in the embodiment of the present application; Figure 3B It is a schematic diagram of the radar echo signal provided by the embodiment of the present application. The embodiment of the present application is optimized on the basis of the foregoing embodiments, and the specific optimization is as follows: a detailed explanation of the determination process of the initial radar time-frequency data is added.

[0090] refer to Figure 3A , the method of this embodiment includes but not limited to the following steps:

[0091] S310. Acquire radar echo data, and preprocess the radar echo data to obtain initial radar time-frequency data.

[0092] In the embodiment of the present application, the radar echo data may be acquired through a network database or a radar sensor. For example, the radar sensor detects and collects data information (that is, radar echo data) of scattered points of various pa...

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Abstract

The embodiment of the invention discloses a data processing method and device, electronic equipment and a storage medium, wherein the method comprises the following steps of: processing initial radar time-frequency data corresponding to a human body sleep activity by adopting a preset noise threshold value, and determining intermediate radar time-frequency data; performing data processing on the intermediate radar time-frequency data to obtain a frame sequence energy threshold vector; performing data processing on the intermediate radar time-frequency data by adopting the frame sequence energy threshold vector to obtain target radar time-frequency data; and identifying the target radar time-frequency data according to a sleep activity identification model to obtain a sleep action type corresponding to the human body sleep activity. According to the technical scheme provided by the embodiment of the invention, the complexity of identifying the target radar time-frequency data by the sleep activity identification model can be reduced; and the hardware resources and cost of a sleep activity identification system are reduced.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular, to a data processing method, device, electronic equipment, and storage medium. Background technique [0002] With the increase of work and study pressure, people pay more and more attention to sleep quality, and sleep activity is an important indicator of sleep quality. Since radar sensors can work without light and have the advantages of privacy protection, researchers have paid more and more attention to using radar sensors to identify sleep activities. [0003] In the prior art, the radar signal is usually combined with machine learning (or deep neural network) to classify human motion. The use of machine learning (or deep neural network) is to process raw data in cloud servers, so it may cause large time delays and loss of raw data. In order to solve this shortcoming, the existing technology performs edge computing on machine learning (or dee...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/11G06K9/62G06N3/04G06N3/08
CPCA61B5/4815A61B5/4806A61B5/1116A61B5/1118A61B5/1126G06N3/08G06N3/047G06N3/044G06F18/214G06F18/2411G06F18/2415Y02A90/10
Inventor 阳召成赖佳磊郭波宁
Owner SHENZHEN UNIV
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