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SYSTEM AND METHOD FOR AUTOMATED SIGN LANGUAGE RECOGNITION

机译:自动标志语言识别的系统和方法

摘要

A method for sign language recognition includes receiving, with an input device, an input based on a plurality of hand movements and postures of a user that correspond to a sequence of signs, extracting a plurality of features from the input corresponding to the plurality of hand movements and postures, identifying, a start of the sequence of signs in the input based on a first set of features in the plurality of features and a first Hidden Markov Model (HMM) stored in the memory and identifying a first sign in the input based on a second set of features in the plurality of features and a second HMM stored in the memory. The method also includes generating an output corresponding to the first sign from the input.
机译:一种用于手语识别的方法,包括:通过输入设备,接收基于用户的与一系列手势相对应的多个手部运动和姿势的输入,从与该多个手部相对应的输入中提取多个特征。运动和姿势,基于多个特征中的第一组特征和存储在存储器中的第一隐马尔可夫模型(HMM),识别输入中的符号序列的开始,并基于输入识别第一符号在所述多个特征中的第二特征集合和存储在所述存储器中的第二HMM上。该方法还包括从输入生成与第一符号相对应的输出。

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