Adaptive classification of hand movement

机译：手动自适应分类

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The hand sign classification system classifies hand movement data into Australian Sign Language (AUSLAN) signs. It is built as a fuzzy expert system with an adaptive engine that trains the system to handle variations in the movement data, or to adapt to differences amongst signers. Adaptive fuzzy systems are often compared with neural networks in their adaptability, but unlike neural networks, expert knowledge can be imposed onto the system in the form of rules.

机译：手标志分类系统将手移动数据分类为澳大利亚手语（Auslan）标志。它是一个模糊专家系统，具有自适应发动机，该系统培训系统来处理移动数据的变化，或者适应符号之间的差异。自适应模糊系统通常与神经网络的适应性相比，但与神经网络不同，专业知识可以以规则的形式施加到系统上。

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《IEEE International Conference on Neural Networks》|1995年||共6页
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Eun-Jung Holden; Roy G.G.; Institute of Electric and Electronic Engineer;
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中图分类自动化技术、计算机技术;
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Adaptive classification of hand movement

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