A Study of CNN-Based Human Behavior Recognition with Channel State Information

In this paper, we studied a model that can distinguish several different human behaviors. We trained data [1] using the Convolutional Neural Network algorithm. The suggested model showed 94.597% accuracy in distinguishing seven different human activities.