Sleep detection method and system

A technology of detection method and detection system, applied in the field of sleep detection

Active Publication Date: 2019-04-09
珠海多士科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a sleep detection method and system that will not affect the user's sleep quality for the problem that the general sleep detection method will affect the user's sleep quality.

Method used

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  • Sleep detection method and system
  • Sleep detection method and system
  • Sleep detection method and system

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Experimental program
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Embodiment Construction

[0021] Such as figure 1 As shown, a method for detecting falling asleep includes the steps:

[0022] S100: Identify the type of the user according to the user characteristic parameters. The user characteristic parameters include the location of the user, the gender of the user, and the age of the user.

[0023] There will be obvious differences in the preparation time for falling asleep for different types of users. In this regard, it is necessary to first identify the type of the user, and the identification basis is the user characteristic parameter. Specifically, user characteristic parameters mainly include three aspects: location, gender, and age. In actual operation, big data analysis methods can be used to collect users of different regions (locations), genders, and ages, and collect the time to fall asleep in these user history records, based on the user’s location, user gender, and user age. These users are classified to obtain different user types, and then data on the ...

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Abstract

The invention provides a method and system for falling asleep detection, which identifies the type of the user, and obtains the probability corresponding to the different sleep preparation time of the user according to the type of the user, and records it as the first probability. Frequency and preset sleep detection sensitivity values, the probability of falling asleep of the user at different time points is obtained as the second probability, and when the second probability corresponding to a certain time point is greater than or equal to the first probability, it is determined that the user falls asleep at that time point. During the whole process, the user's body movement frequency is collected in a non-contact manner, and then based on the probability of the user's body movement frequency and the preset sleep detection sensitivity value and the user's different sleep preparation time, it is determined whether the user is falling asleep, so that on the one hand, the user can be accurately detected. Falling asleep, on the other hand, collects data in a non-contact manner to prevent the collection device from affecting the user's sleep quality.

Description

Technical field [0001] The present invention relates to the technical field of sleep detection, in particular to a method and system for falling asleep detection. Background technique [0002] The user is generally used to listening to music, watching TV, or turning on the light to read a book during the preparation stage for falling asleep. To avoid sound and / or light affecting sleep, the user needs to automatically turn off the TV, music playback device and / or light after entering the sleep state. In this regard, how to detect that the user has fallen asleep is a very critical step. [0003] Generally, fall asleep detection methods use equipment or sensors to collect physiological parameters such as the user's heartbeat, respiratory rate, and body surface temperature, monitor changes in these physiological parameters, and compare the changes with known standard parameters to determine whether the user has fallen asleep. [0004] Although the above method can realize falling asleep...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H10/20G06K9/00
CPCG06V40/10G06V40/107
Inventor 求锡君吴彦杨嘉毅刘南豪
Owner 珠海多士科技有限公司
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