In a context of object manipulation, we he presented that a natural and efficient gesture recognition requires the ability to predict and recognize how humans grasp then manipulate objects.
We have used studies explaining human vision, reach, grasp, taxonomies and manipulations. We study the full cycle of a gesture interaction from different points of view, then attempt to organize them using Norman's theory of Human Action, we link the psychology of object sensing to HCI goals and propose a simplification of gestures classes into four principal families. Our simplification of gestures classes still allow the expression of more detailed subclasses differentiated by the gesture properties.
The goals of this mission are: