基于概率统计模型的手势误解智能发现与纠错算法

Kaiyun Sun, Zhiquan Feng, Changsheng Ai, Yingjun Li, Jun Wei, Xiaohui Yang, Xiaopei Guo
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引用次数: 1

摘要

大量的实验表明,在基于视觉的手势识别中也有类似的手势。为了解决这一问题,本文提出了一种基于卷积神经网络的新算法。根据模型试验结果,建立了混淆矩阵。根据每个手势与预测结果的对应关系,建立误判概率矩阵。基于误判概率矩阵,对卷积神经网络模型识别错误的手势进行校正。经过该算法,相似手势的识别率提高了5% ~ 12%。本文的创新之处在于卷积神经网络结构对错误手势的二次纠错。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent Discovery and Error Correction Algorithm for Misunderstanding Gesture Based on Probabilistic Statistics Model
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 Convolution neural network. According to the model test results, the confusion matrix is established. And according to the correspondence between each gesture and the predicted result, misjudgment probability matrix is established. Based on the misjudgment probability matrix, we correct the gestures that have been incorrectly identified by the Convolution neural network model. After this algorithm, the recognition rate of similar gestures is increased by 5% to 12%. The innovation of this paper lies in the secondary error correction of the wrong gesture of Convolution neural network structure.
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