Method, apparatus and computer program for generating a sleep analysis model for predicting sleep states based on acoustic information

Abstract

The present invention provides an artificial neural network model for determining a user's sleep state based on acoustic information detected in the user's sleep environment. A method for generating the sleep analysis model may include acquiring sleep acoustic information of a user, preprocessing the sleep acoustic information, and analyzing the preprocessed sleep acoustic information to obtain sleep state information. In accordance with the present invention, acoustic information related to the sleep environment can be easily acquired through a user terminal (e.g., a mobile terminal) carried by the user, and the user's sleep stage can be analyzed based on the acquired acoustic information to determine the sleep state.

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