Denis, L., Munteanu, A., Khvastunov, I., & Coddens, K. (2026). Magnetic position sensor system, device and method using a recurrent neural network. (Patent No. US12596017B2). USPTO.

@misc{722d5b17f95341d199b8cb66b6fd5f04,
title = "Magnetic position sensor system, device and method using a recurrent neural network",
abstract = "Method of determining a position (x; x, y) of a sensor device movable relative to a magnetic source, or vice versa; the sensor device comprising at least two magnetic sensors; the method comprising the steps of: a) obtaining a plurality of magnetic sensor signals from said magnetic sensors; b) determining or estimating the position of the sensor device based on said plurality of sensor signals or signals derived therefrom; wherein step b) comprises: determining said position (x; x, y) using an artificial neural network; the artificial neural network being a recurrent neural network trained for determining said position using at most three hundred trainable parameters per degree of freedom. A position sensor system. A position sensor device.",
author = "Leon Denis and Adrian Munteanu and Illia Khvastunov and Kristof Coddens",
year = "2026",
language = "English",
publisher = "USPTO",
type = "Patent",
note = "US12596017B2",
}