Multi-resonance and transfer-learning based tracking system

Abstract

The present disclosure provides tracking systems and methods. One such method comprises generating a continuous wave signal over a frequency range; applying the continuous wave signal to a reading coil element that is electromagnetically coupled to a sensor array, in which the sensor array comprises a plurality of sensing resonators tuned at different resonance frequencies, where an output frequency response of the sensor array varies as a function of a location of a target object or a shape of the target object within a coverage area of the sensor array; acquiring frequency spectrum data showing changes in the output frequency response of the sensor array from the reading coil element; and predicting, by a control unit device using machine learning, a location of the target object within the coverage area or a behavior of the target object based on the acquired frequency spectrum data. Other methods and systems are also provided.