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Vowel recognition system of Lipsynchrobot in lips gesture using neural network

机译:基于神经网络的唇形嘴唇同步机器人元音识别系统

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In this research, we propose a system of vowel recognition on the shape of the lips using a neural network backpropagation. For recognizing the shape of the vowels in the lips by image capturing through the webcam, and then processed through image processing which includes edge detection, filtering, mouth feature extraction, integral projection and vowels recognition on the lips using a back propagation neural network. The vowel recognition results obtained at the lips of the testing process neural network based on the training data and test data. The proposed method works well. The final results obtained from this research is a system that able to detect the lips with good features, with the success of recognizing vowels using 250 training data is 70%. The output data from the vowel recognition on the lips is used as an input to Lipsynchrobot that followed the gesture of human lips.
机译:在这项研究中,我们提出了使用神经网络反向传播对嘴唇形状进行元音识别的系统。为了通过网络摄像头捕获图像来识别嘴唇中的元音形状,然后通过图像处理进行处理,包括边缘检测,滤波,嘴部特征提取,积分投影和使用反向传播神经网络的嘴唇上元音识别。基于训练数据和测试数据,在测试过程神经网络的嘴唇处获得的元音识别结果。所提出的方法行之有效。从这项研究中获得的最终结果是一个能够检测具有良好特征的嘴唇的系统,使用250个训练数据识别元音的成功率为70%。嘴唇上元音识别的输出数据用作跟随人类嘴唇手势的Lipsynchrobot的输入。

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