首页> 外国专利> METHOD FOR GENERATING SIGN LANGUAGE RECOGNITION ARTIFICIAL NEURAL NETWORK LEARNING DATA AND SYSTEM FOR GENERATING MODIFIED ANIMATION DATA

METHOD FOR GENERATING SIGN LANGUAGE RECOGNITION ARTIFICIAL NEURAL NETWORK LEARNING DATA AND SYSTEM FOR GENERATING MODIFIED ANIMATION DATA

机译:生成符号语言识别人工神经网络学习数据的方法和生成动画动画数据的系统

摘要

Disclosed is a method for generating sign language recognition artificial neural network learning data capable of generating a high-quality animation required for learning a sign language recognition artificial neural network and increasing a sign language recognition rate of the artificial neural network through learning based on the same. The method for generating sign language recognition artificial neural network learning data comprises: a process for preparing basic sign language animation data for each word for preparing the basic sign language animation data for each word; a modified sign language animation data generating process for generating the modified sign language animation data by generating various modifications in a sign language motion according to the basic sign language animation data for each word; and a learning data extraction process for extracting the learning data required for the learning of the sign language recognition artificial neural network from the animation data including the modified sign language animation data.;COPYRIGHT KIPO 2020
机译:本发明公开了一种生成手语识别人工神经网络学习数据的方法,该方法能够生成学习手语识别人工神经网络所需的高质量动画并通过基于该学习的学习来提高人工神经网络的手语识别率。 。生成手语识别人工神经网络学习数据的方法,包括:为每个单词准备基本手语动画数据的过程,为每个单词准备基本手语动画数据;修改的手语动画数据生成过程,用于通过根据每个单词的基本手语动画数据在手语运动中生成各种修改来生成修改的手语动画数据; COPYRIGHT KIPO 2020;以及一种学习数据提取过程,用于从包括修改后的手语动画数据的动画数据中提取学习手语识别人工神经网络所需的学习数据。

著录项

  • 公开/公告号KR20200001902A

    专利类型

  • 公开/公告日2020-01-07

    原文格式PDF

  • 申请/专利权人 EQ4ALL CO. LTD.;

    申请/专利号KR20180075008

  • 发明设计人 KO SEUNG YONG;LEE IN KOO;

    申请日2018-06-28

  • 分类号G06T13/40;G06K9;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:08:09

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