Method of generating training data for training indoor space recognition model, and computing apparatus for performing the same

An apparatus for generating training data for training an indoor space recognition model, the apparatus comprising:

• a communication interface comprising a radio frequency (RF) receiver configured to measure a received signal strength indicator (RSSI) value of a signal;
• an input/output interface configured to receive an input from a user and display information;
• a memory storing instructions;
• and
• at least one processor configured to execute the instructions to:
• collect data obtained by measuring RSSI values of signals transmitted from a plurality of signal sources;
• obtain reference data in which the RSSI values measured for the signals transmitted from the plurality of signal sources are matched and stored with a plurality of spaces where measuring is performed;
• select one or more signal sources of the plurality of signal sources as a feature set based on the collected data and the reference data;
• perform clustering on the collected data and the reference data based on the feature set;
• and
• generate the training data by matching and storing the collected data with at least one of the plurality of spaces based on a result of the clustering,
• wherein, when the one or more signal sources are selected as the feature set, the at least one processor is further configured to execute the instructions to determine whether each signal source of the plurality of signal sources is included in the feature set, based on a degree to which ranges of RSSI values measured in different spaces overlap each other.