Recognition of isolated complex mono- and bi-manual 3D hand gestures

被引：3

作者：

Just, A ^{[1
]}

Bernier, O ^{[1
]}

Marcel, S ^{[1
]}

机构：

[1] IDIAP, CH-1920 Martigny, Switzerland

来源：

SIXTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/AFGR.2004.1301594

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. Blobs are obtained by tracking colored body parts in real-time using the EM algorithm. In most of the studies on hand gestures, only small vocabularies have been used In this paper, we study the results obtained on a more complex database of mono- and bi-manual gestures. These results are obtained by using a state-of-the-art sequence processing algorithm, namely Hidden Markov Models (HMMs), implemented within the framework of an open source machine learning library.

引用

页码：571 / 576

页数：6

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