Abstract: Method for detecting an anomaly in the wearing of a respiratory mask applied against the face of a user, comprising: a) detecting, by a microphone, a sound produced, at different times, by the user exhaling or inhaling through the mask; b) processing of the detected sound by a processing unit, at each instant, so as to extract at least one characteristic of the sound; c) according to each characteristic extracted in step b), detecting, by the processing unit, the anomaly in the wearing of the mask. FIG. 1A.

Abstract: The method for monitoring a person includes a) recording sounds produced by the person during a recording period; b) using a processing unit, implementing a classification algorithm for each sound recorded during the recording period, so as to classify each recorded sound into a set of classes, the set of classes including at least a first class of interest, representative of respiratory abnormalities in the person and/or a change in their breathing pattern; and c) depending on the number of sounds classified in the first class of interest, emitting an alert signal, informing of a potential risk of the person falling.