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arXiv · 1909.01768

Learning to gesticulate by observation using a deep generative approach

Unai Zabala·Igor Rodriguez·José María Martínez-Otzeta·Elena Lazkano
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Abstract

The goal of the system presented in this paper is to develop a natural talking gesture generation behavior for a humanoid robot, by feeding a Generative Adversarial Network (GAN) with human talking gestures recorded by a Kinect. A direct kinematic approach is used to translate from human poses to robot joint positions. The provided videos show that the robot is able to use a wide variety of gestures, offering a non-dreary, natural expression level.

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Unai Zabala, Igor Rodriguez, José María Martínez-Otzeta, Elena Lazkano. 2019-09-04. Learning to gesticulate by observation using a deep generative approach. https://arxiv.org/abs/1909.01768

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