| 基于状态机的手语动画自动生成技术 |
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| 引用本文： | 张轶秋,王卫民,唐洋,张健.基于状态机的手语动画自动生成技术[J].计算机与数字工程,2020,48(1):217-220. |
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| 作者姓名： | 张轶秋 王卫民 唐洋 张健 |
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| 作者单位： | 江苏科技大学计算机学院 镇江 212003;江苏科技大学计算机学院 镇江 212003;江苏科技大学计算机学院 镇江 212003;江苏科技大学计算机学院 镇江 212003 |
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| 摘 要： | 目前,手语的资源主要是图片、视频和动画。由于这些资源相对比较固定,无法动态扩展,不能满足手语动画自动生成的需求。论文将状态机应用于手语动画生成中,设计了基于状态机的手语动画自动生成技术算法,并将该算法应用到公交报站手语自动生成系统中。实验结果表明,生成的手语动作流畅,准确率达97%,具有良好的市场应用前景。
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| 关 键 词： | 手语识别 自然语言处理 动画自动生成 智能交互 |
Sign Language Animation Generation of Research and Application Based on State Machine |
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| ZHANG Yiqiu,WANG Weimin,TANG Yang,ZHANG Jian.Sign Language Animation Generation of Research and Application Based on State Machine[J].Computer and Digital Engineering,2020,48(1):217-220. |
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| Authors: | ZHANG Yiqiu WANG Weimin TANG Yang ZHANG Jian |
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| Affiliation: | (School of Computer Science,Jiangsu University of Science and Technology,Zhenjiang 212003) |
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| Abstract: | At present,the resources of sign language are mainly pictures,video and animation.Because these resources are relatively fixed,it is unable to expand dynamically and can not meet the requirements of automatic generation.State machine is ap plied to sign language animation generation,and the algorithm of sign language animation automatic generation is designed based on state machine,a nd this algorithm is applied to the bus stops sign language automatic generation system.The experimental results show that the generated sign language is fluent and accurate,and has a good market prospect. |
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| Keywords: | gesture recognition natural language processing animation automatic generation intelligent interaction |
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