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Data-driven architecture to encode information in the kinematics of robots and artificial avatars
We present a data-driven control architecture for modifying the kinematics of robots and artificial avatars to encode specific information such as the presence or not of an emotion in the movements of an avatar or robot driven by a human operator.
What Will I Do Next? The Intention from Motion Experiment
In this paper, we bridge cognitive and computer vision studies, by demonstrating the effectiveness of video-based approaches for the prediction of human intentions.
Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
In this paper, we address the new problem of the prediction of human intents.
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