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Parametric Primitives For Hand Gesture Recognition
2009
Zenodo
Imitation learning is considered to be an effective way of teaching humanoid robots and action recognition is the key step to imitation learning. In this paper an online algorithm to recognize parametric actions with object context is presented. Objects are key instruments in understanding an action when there is uncertainty. Ambiguities arising in similar actions can be resolved with objectn context. We classify actions according to the changes they make to the object space. Actions that
doi:10.5281/zenodo.1080026
fatcat:fuwobiq7s5fqvprppo3qe7gh2e