Exploiting Spatio-Temporal Human-Object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting
Dimitrios Lagamtzis,Fabian Schmidt,Jan Seyler,Thao Dang,Steffen Schober,Dimitrios Lagamtzis,Fabian Schmidt,Jan Seyler,Thao Dang,Steffen Schober
Human action recognition and motion forecasting is becoming increasingly successful, in particular with utilizing graphs. We aim to transfer this success into the context of industrial Human-Robot Collaboration (HRC), where humans work closely with robots and interact with workpieces in defined workspaces. For this purpose, it is necessary to use all the available information extractable in such a...
