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Snapture -- A Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition
Feb. 28, 2024, 5:43 a.m. | Hassan Ali, Doreen Jirak, Stefan Wermter
cs.LG updates on arXiv.org arxiv.org
Abstract: As robots are expected to get more involved in people's everyday lives, frameworks that enable intuitive user interfaces are in demand. Hand gesture recognition systems provide a natural way of communication and, thus, are an integral part of seamless Human-Robot Interaction (HRI). Recent years have witnessed an immense evolution of computational models powered by deep learning. However, state-of-the-art models fall short in expanding across different gesture domains, such as emblems and co-speech. In this paper, …
abstract architecture arxiv communication cs.ai cs.cv cs.lg demand dynamic frameworks gesture recognition human integral interfaces natural novel part people recognition robot robots systems type
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