Smart Clothing using Antenna and Memristive ANN

The investigation of creeping waves around the torso combined with classification using a three-dimensional memristive neural network can be used for developing new smart clothes. In this work, analysis is performed to study the electromagnetic wave propagation around the torso. Two crossslot antennas are used in the study. #Antl is fixed and #Ant2 is moved around the body. The path gain is experimentally noted at various positions. An exponential decay is obtained when #Ant2 moves around the body, and this varies from person to person as the dimensions and dielectric constant value change. The effect of the hand near the #Ant2 while experimenting is also studied. The S parameter values obtained here can be fed to a threedimensional memristor crossbar array to perform classification using an Artificial Neural Network. Based on these S parameter values, the neural network with effectively low power and area requirements predicts the cloth size required for the individual.