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粗糙集理论在中国手语合成中的应用

The Application for Rough Set on the Synthesis of Chinese Sign Language
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摘要 粗糙集理论是处理模糊和不确定知识的一种重要工具,约简是它的核心方法之一.在人机交互中,手势交互的难点在于手势表示的复杂性和逼真性,在将粗糙集理论应用于中国手语合成中,利用约简发现了手运动中的一类约束,降低了手语表示的复杂性,也增强了手语合成的逼真性. Rough set theory is an useful tool to process inaccurate data, reduction is an important concept in rough set. The difficulty of hand gesture interaction is the complexity and facticity. It applies rough set to synthesis of Chinese Sign Language. There are some constraints among the hand gesture, the reduction is used to find some constraints of hand gesture, the recognition and generation of Chinese Sign Language will be simplified by the constraints.
出处 《复旦学报(自然科学版)》 CAS CSCD 北大核心 2004年第5期874-876,共3页 Journal of Fudan University:Natural Science
基金 国家863计划资助项目(863 306 02 01) 国家自然科学基金资助项目(60103007)
关键词 粗糙集理论 约简 表示 手语 人机交互 不确定 约束 逼真性 手势 知识 data mining rough set reduction sign language
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