Figure 4.

Experimental Results for Learned EM Sensing Applied to a Gesture-Recognition Task

Rather than imaging the scene, we now directly process the raw data with the r-ANN in order to classify the gesture displayed in the scene. The metasurface coding patterns $\mathcal{C}$ are initialized randomly.

(A) Dependence of the classification accuracy on the number of coding patterns of the programmable metasurface.

(B) The classification confusion matrix for M = 3 if only $\mathbf{\Phi }$ is optimized.

(C) The classification confusion matrix for M = 3 for jointly optimized $\mathcal{C}$ and $\mathbf{\Phi }$.