Dynamic gesture classification using skeleton model on RGB-D data

This study aims to subjectively detect and classify similar gestures using a red-green-blue-depth camera. Human gesture recognition is one of the crucial components for realizing natural user interfaces (NUIs) using computers and machines. The quality of the NUI highly depends on the robustness of the achieved gesture recognition. We, therefore, propose a gesture classification method using singular spectrum transformation. Using this method, we can robustly classify gestures and behavior