Human action recognition using wavelet signal analysis as an input in 4W1H

The human action recognition problem, for real time implementation have always been part of the research interest in the iSpace. Different techniques have been used in approaching a real time sensing and processing of the information to be able to deliver feedback to the user as well to monitoring systems. In this paper we apply wavelet processing techniques to solve the problem of real time processing, as well as ti filter the original signal in order to have better classification.