A methodological approach relating the classification of gesture to identification of human intent in the context of human-robot interaction
A methodological approach relating the classification of gesture to identification of human intent in the context of human-robot interaction
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一种将手势分类与人机交互背景下人类意图识别相关的方法
DOI：
10.1109/roman.2005.1513807
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
R. Alami
中科院分区：
文献类型：
--
作者：
Chrystopher L. Nehaniv;K. Dautenhahn;J. Kubacki;M. Hägele;Christopher Parlitz;R. Alami
为了从手势推断意图，引入了将手势类型广泛分类为五个主要类别。分类的目的是作为一个普遍适用的基础，将手势的理解到人机交互（HRI）。从人机交互的例子表明，需要考虑的不仅是姿态的运动学，但也interintermittent上下文。由机器人与人类互动的手势操作分类的要求，并在其部署的初始步骤进行了讨论。
In order to infer intent from gesture, a broad classification of types of gestures into five main classes is introduced. The classification is intended as a generally applicable basis for incorporating the understanding of gesture into human-robot interaction (HRI). Examples from human-robot interaction show the need to take into account not only the kinematics of gesture, but also the interactional context. Requirements for the operational classification of gesture by a robot interacting with humans are suggested and initial steps in its deployment are discussed.