Systems and methods for person identification using wireless signals

A system for determining particular personal identity using wireless signals, the system comprising:

• a wireless receiver configured to receive packets transmitted by a wireless transmitter, and further configured to collect channel state information from the packets;
• and
• a computer system associated with the wireless receiver, wherein the computer system is configured to:
• pre-process the channel state information, wherein pre-processing the channel state information comprises determining a gait and a plurality of biometric features including body shape and height associated with a particular person based on selected channel state information segments;
• annotate the selected channel state information segments with a class indicative based on the at least the gait of the particular person;
• identify, using a machine learning model, the particular person based on the at least the gait of the particular person, wherein the machine learning model is trained using classifier training and training data comprising information from the selected channel state information segments and the gait of the particular person, and wherein the computer system is configured to, in performing the classifier training, determine one or more parameters of the selected channel state information segments;
• determine, using machine learning model, one or more usage patterns of a machine by the particular person, wherein the machine is located in a space that includes the wireless receiver and the wireless transmitter;
• identify, using the one or more parameters of the selected channel state information segments, a presence of the particular person based on additional packets received by the wireless receiver subsequent to performing classifier training;
• and
• control, using the one or more usage patterns, operation of the machine in response to detecting the presence of the particular person.

A non-transitory computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to carry out operations comprising:

• pre-processing channel state information from packets received at a wireless receiver associated with the computer system, wherein pre-processing the channel state information comprises determining a gait associated with a particular person based on selected channel state information segments;
• annotating the selected channel state information segments with a class indicative based on the at least the gait of the particular person;
• identifying, using a machine learning model, the particular person based on the at least the gait of the particular person, wherein the machine learning model is trained using classifier training and training data comprising information from the selected channel state information segments and the gait of the particular person, and wherein performing the classifier training includes determining one or more parameters of the selected channel state information segments;
• determining, using the machine learning model, one or more usage patterns of a machine by the particular person, wherein the machine is located in a space that includes the wireless receiver and a wireless transmitter from which the packets were transmitted;
• identifying, using the one or more parameters of the selected channel state information segments, a presence of the particular person based on additional packets received by the wireless receiver subsequent to performing classifier training;
• and
• controlling, using the one or more usage patterns, operation of the machine in response to detecting the presence of the particular person.