节点文献
基于ANN/HMM的手语识别方法
Sign Language Recognition Method Based on ANN/HMM
【摘要】 <正> 1 引言手语是聋哑人使用的语言。它是由手形动作辅之以表情姿势而构成的比较稳定的表达系统,是一种靠动作/视觉进行交际的特殊语言。手语识别系统与手语合成系统,共同构成“人-机手语翻译器”,为聋哑人提供更好的服务。人类交互往往声情并茂,除了采用自然语言(口语、书面语言)外,人体语言(表情、体势、手势)也是人
【Abstract】 Sign Language is the language used by deaf-mute. In this paper the ANN/HMM-based sign language recognition method is proposed. Feature-mapper on posture , position and orientation is built respectively using ANN. The feature vector composed of output from each feature-mapper is used as input of HMM. In addition, in the process of building feature-mapper on posture, multi-feature multi-classifier fusion algorithm is presented. It is proved by experiment that ANN/HMM-based sign language recognition method is feasible and effective.
【关键词】 sign language recognition;
Artificial neural network;
Hidden markov model;
Feature-map-per;
【Key words】 sign language recognition; Artificial neural network; Hidden markov model; Feature-map-per;
【Key words】 sign language recognition; Artificial neural network; Hidden markov model; Feature-map-per;
【基金】 国家863计划(合同号:863-306-03-01-1);国家自然科学基金重点课题(批准号:69789301);国家教委跨世纪人才基金;中国科学院百人计划的资助
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,1999年10期
- 【分类号】TP391.41
- 【被引频次】12
- 【下载频次】197