Electronic apparatus and controlling method thereof

A method of controlling an electronic apparatus, the method comprising:

• transmitting a radar signal through an ultra-wideband (UWB) sensor and receiving a signal reflected by a user;
• based on the signal reflected by the user, acquiring first information on a user's movement;
• acquiring second information on the user's movement by performing a Fourier transform on the first information;
• acquiring first feature information corresponding to the first information by inputting the first information into a first neural network;
• acquiring second feature information corresponding to the second information by inputting the second information into a second neural network;
• acquiring input data acquired by performing position embedding on feature information combining element-wise the first feature information and the second feature information;
• acquiring sleep information on a user's sleep by inputting the input data into a third neural network;
• and
• providing the sleep information on the user's sleep,
• wherein the first information includes a distance map with respect to a movement of a user's chest, and the second information includes a Doppler map with respect to the movement of the user's chest, and
• wherein the acquiring of the sleep information on the user's sleep comprises acquiring the sleep information on the user's sleep by inputting a value acquired by multiplying the first feature information and the second feature information for each element into the third neural network.

One or more non-transitory computer-readable storage media storing one or more computer programs including instructions that, when executed by a processor of an electronic apparatus, cause the electronic apparatus to perform operations, the operations comprising:

• transmitting a radar signal through an ultra-wideband (UWB) sensor and receiving a signal reflected by a user;
• based on the signal reflected by the user, acquiring first information on a user's movement;
• acquiring second information on the user's movement by performing a Fourier transform on the first information;
• acquiring first feature information corresponding to the first information by inputting the first feature information into a first neural network;
• acquiring second feature information corresponding to the second information by inputting the second information into a second neural network;
• acquiring input data acquired by performing position embedding on feature information combining element-wise the first feature information and the second feature information;
• acquiring sleep information on a user's sleep by inputting the input data into a third neural network;
• and
• providing the sleep information on the user's sleep,
• wherein the first information includes a distance map with respect to a movement of a user's chest, and the second information includes a Doppler map with respect to the movement of the user's chest, and
• wherein the acquiring of the sleep information on the user's sleep comprises acquiring the sleep information on the user's sleep by inputting a value acquired by multiplying the first feature information and the second feature information for each element into the third neural network.