Abstract
The recognition of human behavior is essential for robots to expand into the human society. In this paper, we propose an algorithm for extracting the object of human action based on an association model between motion symbols and objects. Action is described as reciprocal and specific information connected body motion and environment. The proposed association model represents such object specification of action by latent states between motion symbols and object symbols. The robot observes human motion and environments around human. And the robot infers object of action based on object specification of action acquired by the proposed association model. We validate our approach by conducting an experiment with captured human motion data and camera images.
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