System and techniques for improving in-room person detection

A computing device, comprising:

• one or more memories;
• and
• one or more processors in communication with the one or more memories and configured to execute instructions stored in the one or more memories of an electronic device in a room to perform operations comprising:
• transmitting an electromagnetic wireless signal by an electromagnetic transceiver of a first sensor of the electronic device;
• receiving, by the electromagnetic transceiver, an electromagnetic return signal from the electromagnetic wireless signal;
• detecting a potential target in the room based on the electromagnetic return signal;
• determining that the potential target is in the room using a second sensor;
• responsive to determining the potential target is in the room, saving a training signature of the electromagnetic return signal for training a machine learning model;
• repeating to obtain a set of training signatures identified as corresponding to the potential target being in the room;
• and
• training, using the set of training signatures, the machine learning model to detect when a target is in the room using the first sensor.

A computer-readable medium storing a plurality of instructions that, when executed by one or more processors of a computing device, cause the one or more processors to perform operations comprising:

• transmitting an electromagnetic wireless signal by an electromagnetic transceiver of a first sensor of the computing device;
• receiving, by the electromagnetic transceiver, an electromagnetic return signal from the electromagnetic wireless signal;
• detecting a potential target in the room based on the electromagnetic return signal;
• determining that the potential target is in the room using a second sensor;
• responsive to determining the potential target is in the room, saving a training signature of the electromagnetic return signal for training a machine learning model;
• repeating to obtain a set of training signatures identified as corresponding to the potential target being in the room;
• and
• training, using the set of training signatures, the machine learning model to detect when a target is in the room using the first sensor.