Antenna Based Classification of Posture Positions Using 1T1M Crossbar Arrays

This article presents the classification of posture positions of a hand swing activity by directing the transmission values from cross-slot antenna to memristor cross-bar array. The antenna operates well in the range of 2 GHz to 3 GHz. For doing this a hand swing activity is performed by keeping Ant1 on chest and Ant2 on hand and the transmission coefficient obtained is fed to a memristor crossbar array for classification. Artificial Neural Network architecture with VTEAM memristor model is taken here for implementing the classification problem.