| 差分特征融合改进的动态手势识别分类网络模型 |
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| 引用本文： | 林智伟,朱文章,陈浩.差分特征融合改进的动态手势识别分类网络模型[J].厦门理工学院学报,2021,29(1):35-42. |
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| 作者姓名： | 林智伟 朱文章 陈浩 |
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| 作者单位： | 厦门理工学院光电与通信工程学院，福建 厦门 361024 |
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| 摘 要： | 通过卷积神经网络和长短期记忆网络进行多模型结合，实现动态手势识别分类建模，并使用数据增强算法增加数据的多样性，通过差分特征融合改进网络。7种动态手势动作识别分类的实验结果显示，使用数据增强算法增加数据的多样性后，结合模型的识别率最佳可提升286%；通过差分算法改进网络，序列间差分特征融合模型识别率达到8381%，维度差分特征融合模型识别率达到8762%。表明多模型结合可解决单一模型的局限性，处理更加复杂的动态手势分类问题，两种不同形式的差分特征融合改进都可提升动态手势动作的识别率，从而验证了所设计的差分特征融合改进的动态手势识别分类网络模型的有效性和可行性。
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| 关 键 词： | 动态手势识别分类 网络模型 差分特征融合 卷积神经网络 长短期记忆网络 |
Network Modeling of Dynamic Gesture RecognitionClassification Improved on Difference Feature Fusion |
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| LIN Zhiwei,ZHU Wenzhang,CHEN Hao.Network Modeling of Dynamic Gesture RecognitionClassification Improved on Difference Feature Fusion[J].Journal of Xiamen University of Technology,2021,29(1):35-42. |
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| Authors: | LIN Zhiwei ZHU Wenzhang CHEN Hao |
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| Affiliation: | School of Optoelectronics and Communication Engineering, Xiamen University of Technology, Xiamen 361024, China |
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| Abstract: | Convolutional neural network and long short term memory network are combined to realize dynamic gesture recognition classification modeling.Data enhancement algorithm is used to increase the diversity of data,and differential feature fusion applied to improve the network.Experimental results of 7 kinds of dynamic gesture recognition classification show that:with the data diversity increase by data enhancement algorithm,recognition rate of the enhanced model is improved by 2.86%by using differential algorithm,the recognition rate of the sequence differential feature fusion model reaches 83.81%,and that of the dimensional differential feature fusion model reaches 87.62%.Multi models can be applied to break the limits of single model to solve difficult dynamic gesture classification problems.Two different forms of differential feature fusion can both improve the recognition rate of dynamic gesture recognition,which proves the effectiveness and feasibility of the network modeling of dynamic gesture recognition classification. |
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| Keywords: | dynamic gesture recognition classificationnetwork modeldifferential feature fusion convolutional neural networklong and short term memory network |
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