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时间序列聚类算法及其在手势识别中的应用 被引量：4

Time Series Clustering Algorithm and Its Application in Gesture Recognition
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摘要 针对中国聋人手势词"语形"是由若干个基本手势组成的特点,本文提出了沿时间轴的贪心聚类算法,并在此基础上给出了一种快速训练算法及快速识别算法。将该算法具体应用到中国手语手势词的识别中,实验结果表明,与HMM相比,该方法不仅在识别速度上有大的改观,而且大大缩短了手势词对应模板的训练时间。 According to the characteristics of sign word of gesture language for Chinese Sign Language (CSL), a greedy clustering algorithm along the time axis (GLATA) is proposed in this paper. A fast training algorithm and a fast recognizing algorithm basing on GLATA are given, and they are applied in gesture recognition for CSL. The experimental results show that this method is more effective than HMM in gesture recognition.
作者 吴江琴 高文
机构地区 浙江大学计算机学院 哈尔滨工业大学计算机科学与工程系
出处 《模式识别与人工智能》 EI CSCD 北大核心 2005年第1期1-5,共5页 Pattern Recognition and Artificial Intelligence
关键词 手势识别 沿时间轴贪心聚类算法 时间序列聚类 Gesture Recognition A Greedy Clustering Algorithm along the Time Axis Time Series Clustering
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献6

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二级参考文献11

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共引文献7

同被引文献54

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模式识别与人工智能
2005年 第1期

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