Sleep behavior information prediction method and system based on intelligent household equipment

A technology of smart home equipment and prediction methods, applied in general control systems, control/regulation systems, instruments, etc., can solve problems such as poor user sleep experience, and achieve the effect of prediction

Inactive Publication Date: 2020-02-21
GREE ELECTRIC APPLIANCES INC +1
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Problems solved by technology

[0004] The present disclosure provides a method and system for predicting sleep behavior information based on smart home devices, so as to solve the probl

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  • Sleep behavior information prediction method and system based on intelligent household equipment
  • Sleep behavior information prediction method and system based on intelligent household equipment
  • Sleep behavior information prediction method and system based on intelligent household equipment

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[0050] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0051] There are many types of smart home equipment and products. Taking sleep tools (such as pillows, mattresses, etc.) in smart homes as an example, the use of sleep tools can ensure that people sleep more comfortably. Currently, sleep tools on the market still meet the basic needs of users. Sleep needs mainly, so it has a low degree of ...

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Abstract

The disclosure provides a sleep behavior information prediction method and system based on intelligent household equipment. The method comprises the following steps of monitoring running state of oneor more pieces of intelligent household equipment, and acquiring a first parameter related to the current sleep behavior when monitoring a running signal generated by triggering the intelligent household equipment; inputting the first parameter into a preset neural network model, and performing prediction based on the first parameter by using the neural network model so as to obtain a second parameter output after prediction, wherein the neural network model is a model obtained by training according to historical data related to sleep behaviors; and generating the prediction information of thesleep behavior according to the second parameter. Based on the technical scheme of the invention, the sleep behavior information of the user is predicted, the sleep quality of the user is improved, and the sleep experience of the user is enhanced.

Description

technical field [0001] The present disclosure relates to the field of smart home technology, in particular to a method and system for predicting sleep behavior information based on smart home devices. Background technique [0002] With the development of computer technology, Internet of Things technology and industrial production technology, combining the above technologies with conventional household products in daily life to produce intelligent household equipment has gradually become the development trend of future household equipment and products. Take sleep tools in smart homes as an example, such as current pillows, mattresses and other products, which still mainly meet the basic sleep needs. However, the human body will generate some information during the sleep process, which is useful for analyzing the user's sleep behavior. It is of high value. By analyzing this part of the information, it will help to analyze the user's sleep behavior. Therefore, how to combine ar...

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Application Information

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IPC IPC(8): G05B15/02G05B19/418
CPCG05B15/02G05B19/418G05B2219/2642
Inventor 郑威宋德超陈翀魏文应岳冬
Owner GREE ELECTRIC APPLIANCES INC
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