Systems and methods for multi-modal occupancy detection using active asset tags

An asset tag, comprising:

• a processor;
• an accelerometer;
• a wireless transceiver;
• and
• a memory communicatively coupled to the processor, wherein the memory comprises an occupancy detection logic that is configured to:
• monitor inertial data generated by the accelerometer;
• determine a stationary state based on the inertial data;
• measure, via the wireless transceiver, signal characteristics of a wireless signal;
• apply an onboard machine learning classification model to the signal characteristics wherein the onboard machine learning classification model is configured to generate an output;
• determine an occupancy presence based on the output of the onboard machine learning classification model;
• and
• transmit, via the wireless transceiver, an occupancy notification based on the occupancy presence.

A method of occupancy detection, comprising:

• receiving, by a network device via an ultra-wideband transceiver, a signal located in an environment;
• extracting, by the network device, a channel impulse response from the signal;
• determining, by the network device, a difference between the channel impulse response to a baseline environmental signature associated with the environment;
• detecting, by the network device, based on the difference, a multipath disturbance;
• and
• updating, by the network device, an occupancy status for the environment based on the multipath disturbance.