基于条件迭代算法的手语识别技术  

Sign language recognition based on iterated conditional modes

作　　者：严焰[1] 刘蓉[2] 

机构地区：[1]湖北师范学院教育信息与技术学院,湖北黄石435002 [2]华中师范大学物理科学与技术学院,湖北武汉430079

出　　处：《微型机与应用》2015年第2期49-51,58,共4页Microcomputer & Its Applications

摘　　要：针对多组手语语句中重复出现的手语单词识别问题,提出了一种识别方法。该方法利用时间规整算法构建手语识别模型,并通过条件迭代算法快速计算最大后验概率。在南佛罗里达大学公共手语数据集进行实验,证明了该方法具有一定的实用性。For the problem of sign language recognition in continuous sentences, a method was proposed. The sign language recognition model was established with Dynamic Time Warping （DTW）, and through the Iterated Conditional Modes（ICM）computed the maximum a posteriori probability. The performance of this method was assessed by computer simulations.

关 键 词：手语识别 动态时间规整算法 条件迭代算法 

分 类 号：P391[天文地球—地球物理学]