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首页> 外文期刊>International Journal of Performability Engineering >An Intelligent Discovery and Error Correction Algorithm for Misunderstanding Gesture based on Probabilistic Statistics Model
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An Intelligent Discovery and Error Correction Algorithm for Misunderstanding Gesture based on Probabilistic Statistics Model

机译：基于概率统计模型的误解手势智能发现与纠错算法

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Numerous experiments have shown that there are similar gestures in visual-based gesture recognition. In order to solve the problem, this paper proposes a new algorithm based on Convolutional Neural Network. According to the model test results, the confusion matrix is established. According to the correspondence between each gesture and the predicted result, probability matrix of misjudgement is established. Based on the probability matrix of misjudgement, we correct the gestures that have been incorrectly identified by the Convolutional Neural Network Model. After this algorithm, the recognition rate of similar gestures is increased from 5% to 12%. The innovation of this paper lies in the secondary error correction of the wrong gesture of Convolutional Neural Network structure.
机译：许多实验表明，基于视觉的手势识别存在类似的手势。 为了解决问题，本文提出了一种基于卷积神经网络的新算法。 根据模型测试结果，建立了混淆矩阵。 根据每个手势和预测结果之间的对应关系，建立误判的概率矩阵。 基于误判概率矩阵，我们纠正了卷积神经网络模型被错误识别的手势。 在该算法之后，类似手势的识别率从5％增加到12％。 本文的创新在于卷积神经网络结构错误姿态的二次纠正。

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