2D Localisation Using Magneto-Inductive Waveguides

This study investigated a two-dimensional(2D) magneto-inductive waveguide as a sensing device for low-conductivity samples, which mimic the effect of touchscreen interactions. A neural network was trained to predict the 2D location of a sample with conductivity of 0.64 S/m, using spectral components obtained from a single, asymmetrical probing point as features. The model achieved an accuracy of 99% up to 12 mm away from the surface. This research advances the potential implementation of magneto-inductive waveguides in touchscreen arrays and biomedical applications.