Sleep body motion recognition method, sleep quality assessment method and smart wearable device

An identification method and sleep technology, applied in the field of communication, can solve problems such as difficulty in obtaining accurate data, and achieve the effects of improving sleep results, regulating sleep cycles, and correcting spinal distortion

Inactive Publication Date: 2018-12-28
HUIZHOU DESAY IND RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Each company processes data from accelerometers in different ways, and the algorithms of each product are also different, ranging from simple

Method used

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  • Sleep body motion recognition method, sleep quality assessment method and smart wearable device
  • Sleep body motion recognition method, sleep quality assessment method and smart wearable device
  • Sleep body motion recognition method, sleep quality assessment method and smart wearable device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A method for recognizing sleep body movement of the present invention, such as figure 1 with figure 2 Shown:

[0048] Including the following steps:

[0049] S11. Establishment of the standard model: collect various body movements of the user during sleep through the acceleration sensor, including multiple movements of turning left, right, and left and right at different speeds, and collect three-dimensional acceleration data in these various body movements a x 、ay 、a z , and perform data processing on it to obtain the one-dimensional combined acceleration data a, extract the eigenvalues ​​of the combined acceleration data a, establish a variety of standard models of the user's body movements at normal speeds during sleep, and use the various standard models as reference templates Sequences C1, C2...Cx are stored in the sample library;

[0050] Wherein, the data processing includes synthesizing the three-dimensional acceleration data into one-dimensional combined ...

Embodiment 2

[0069] A kind of sleep quality evaluation method of the present invention, such as Figure 4 Shown:

[0070] Including the following steps:

[0071] S21. Acquisition of the user's physical activity frequency: Obtain the number of physical activities during the user's sleep, the maximum time interval between two physical activities, and a single activity through the body movements of the user during sleep recognized by the sleep body movement recognition method The maximum duration of the user's sleep; the number of times the user turns over during sleep, the total duration of sleep, and the regularity of sleep awakening are obtained through monitoring;

[0072] The frequency of physical activity, the number of times of turning over, the total duration of sleep, and the law of sleep awakening during the user's sleep process are identified as the objective criteria for the user's sleep evaluation.

[0073] Provide subjective sleep feeling list;

[0074] Receive the user's sel...

Embodiment 3

[0084] A smart wearable device of the present invention, such as Figure 5 Shown: The wearable device is a bracelet or a watch.

[0085] Such as Figure 4 Shown: including acquisition module, filter module, processing module and identification module; among them, the acquisition module is used to collect body movement data during the user's sleep; the acquisition module includes an acceleration sensor; the filter module is used to perform low-pass filtering on the collected data Processing; the processing module is used to analyze and calculate the filtered data; the processing module includes an MCU; the identification module completes the identification of the user's body movement during sleep.

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PUM

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Abstract

The invention provides a sleep body motion recognition method. The method comprises the steps of using an acceleration sensor to collect three-dimensional acceleration data in a plurality of body movements during sleeping of a user and processing the data to establish a plurality of standard models at a normal speed; collecting a novel sleep action of the user, and generating a test template for the sleep action of the user; determining body motions during the sleeping of the user through a DTW algorithm; obtaining the physical activity frequency of the user through the body motion of the user; combining the physical activity frequency and a subjective standard of the user to analyze and assess the sleep state of the user. The smart wearable device based on the sleep body motion recognition method or the sleep quality assessment method helps the user to calculate sleep time and body activity rules in order to better understand own biological clock, and urges the user to develop bettersleep habits, understand and grasp the rhythm of turning or activity during sleep, pay attention to physical health, and improve own result of sleep.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method for recognizing sleep body movement, a method for evaluating sleep quality, and an intelligent wearable device. Background technique [0002] A smart bracelet is a wearable smart device. Users can record data such as exercise, sleep, heart rate, blood pressure and blood samples in daily life, and synchronize these data with smartphones, tablets, etc., to play a role in guiding healthy life through data. Due to the rapid development of smart wearable devices, and the simple and practical smart bracelet is a hot spot in the market. [0003] In daily life, many people think that when sleeping, the body moves less to sleep soundly. In fact, normal people turn over about 20 times every night. Although turning over is an unconscious movement, it can improve sleep function and promote physical health. [0004] If the body is always in contact with the bedding ...

Claims

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Application Information

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IPC IPC(8): A61B5/11
CPCA61B5/1116A61B5/4809A61B5/4815A61B5/681A61B5/72
Inventor 张小艳邬志强黄伟烈钟晨
Owner HUIZHOU DESAY IND RES INST CO LTD
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