Abstract: According to one aspect of the present invention, provided is a method for supporting labeling of sensor data, comprising the steps of: acquiring sensor data to be labeled, measured by means of a sensor for a subject; and referring to the subject's behavior estimated from the sensor data to be labeled and/or first corresponding reference data, which corresponds to the sensor data to be labeled and belongs to a type differing from that of the sensor data to be labeled, thereby determining information related to labeling of the sensor data to be labeled.

Abstract: A method for monitoring an object is provided. The method includes the steps of: in response to information on a behavior of a domestic animal being estimated from sensor data measured by a sensor for the domestic animal using a machine learning-based behavior recognition model, estimating health status of the domestic animal with reference to the information on the behavior of the domestic animal and a health criterion for the domestic animal; and determining first breeding information on the domestic animal to be provided to a user on the basis of the health status.

Abstract: A method for monitoring an object is provided. The method includes the steps of: in response to information on a behavior of a domestic animal being estimated from sensor data measured by a sensor for the domestic animal using a machine learning-based behavior recognition model, estimating health status of the domestic animal with reference to the information on the behavior of the domestic animal and a health criterion for the domestic animal; and determining first breeding information on the domestic animal to be provided to a user on the basis of the health status.

Abstract: According to one aspect of the present invention, provided is a method for monitoring an object, the method comprising the steps of: in sensor data measured by a sensor for at least one object, specifying pattern data about an unidentified behavior of the at least one object that is not recognized by a machine learning-based behavior recognition model; and determining at least a portion of the pattern data as target data on the basis of at least one of a measurement frequency and a measurement size of the pattern data, and providing information about the target data to a user.