基于RGBD流的实时手语识别:时空特征探索

Proceedings of the 2nd ACM symposium on Spatial user interaction Pub Date : 2014-10-04 DOI:10.1145/2659766.2661214

Fuyang Huang, Zelong Sun, Q. Xu, F. Sze, Tang Wai Lan, Xiaogang Wang

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引用次数: 1

摘要

我们提出了一种新的时空特征集用于手语识别，其中我们构建了明确的时空特征来捕捉手部运动和手部形状。实验结果表明，该方法在精度上优于现有方法。

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Real-time sign language recognition using RGBD stream: spatial-temporal feature exploration

We propose a novel spatial-temporal feature set for sign language recognition, wherein we construct explicit spatial and temporal features that capture both hand movement and hand shape. Experimental results show that the proposed solution outperforms existing one in terms of accuracy.

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Proceedings of the 2nd ACM symposium on Spatial user interaction

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