The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
This paper introduces a formal theory for describing actions in terminological knowledge bases, closely related to description logics. It deals in particular with the problem of ad...
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...