Jul 24, 2023 · Dynamic gesture recognition based on 3D separable convolutional LSTM networks is based on the pytorch platform for experimental validation.

Jul 6, 2023 · The experimental results show that three network structures, the efficient extraction of dynamic gesture features, and better recognition ...

Mar 14, 2022 · Currently, most of the commonly used dynamic gesture recognition algorithms are based on 3D convolutional neural networks. Although 3D ...

Aug 16, 2021 · The dynamic gesture recognition networks based on deep learning are mainly divided into three types: two-stream networks, long short-term memory ...

Jul 24, 2023 · The process of establishing contact with a computer through gestures still faces many bottlenecks that need to be solved, one of which is ...

In this paper, a deep learning-based model which is combination of 3D-CNN and LSTM is proposed for recognizing dynamic hand gestures. To evaluate the proposed ...

In this paper, we address the above challenges by proposing a novel deep deformable 3D convolutional neural network for end-to-end learning, which not only ...

Missing: Natural | Show results with:Natural

In this paper, we address the above challenges by proposing a novel deep deformable 3D convolutional neural network for end-to-end learning, which not only ...

The VIVA challenge's dataset contains 885 intensity and depth video sequences of. 19 different dynamic hand gestures performed by 8 subjects inside a vehicle [ ...