Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising

In many human-computer interaction applications, fast and accurate hand tracking is necessary for an immersive experience. However, raw hand motion data can be flawed due to issues such as joint occlusions and high-frequency noise, hindering the interaction. Using only current motion for interaction...

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Vydané v:	IEEE transactions on visualization and computer graphics Ročník 30; číslo 10; s. 6754 - 6769
Hlavní autori:	Zhou, Kanglei, Shum, Hubert P. H., Li, Frederick W. B., Liang, Xiaohui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.10.2024
Predmet:	Convolutional neural networks Decoding Dynamics Graph convolutional network hand motion denoising hand motion prediction multi-task learning Multitasking Noise reduction Prediction algorithms Task analysis
ISSN:	1077-2626, 1941-0506, 1941-0506
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