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