Study on dynamic gesture recognition based on attention mechanism convolutional neural network

doi:10.13741/j.cnki.11-1879/o4.2020.06.019

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Study on dynamic gesture recognition based on attention mechanism convolutional neural network

更新时间：2025-09-01

- Study on dynamic gesture recognition based on attention mechanism convolutional neural network
- Vol. 46, Issue 6, Pages: 750-756(2020)
- 作者机构：
  
  1:江苏商贸职业学院电商与物流学院
- 作者简介：
- 基金信息：
- DOI：10.13741/j.cnki.11-1879/o4.2020.06.019
  CLC：
- Published：2020
- 稿件说明：
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Study on dynamic gesture recognition based on attention mechanism convolutional neural network[J]. 2020, 46(6): 750-756.
DOI：

Study on dynamic gesture recognition based on attention mechanism convolutional neural network[J]. 2020, 46(6): 750-756. DOI： 10.13741/j.cnki.11-1879/o4.2020.06.019.

摘要

针对复杂环境下动态手势识别准确率低的问题

提出了一种基于长短期记忆网络和卷积神经网络的动态手势识别算法。采用长短期记忆网络学习每个滤波器的权重

预测人体外形相关的滤波器组;采用卷积神经网络提取目标手势的轨迹图

创建彩色的轨迹图像;将轨迹图像送入注意力卷积神经网络训练

利用神经网络识别出复杂环境下的手势。实验结果表明

该算法能够准确地检测与跟踪手势的动态变化

并且实现了较好的手势识别准确性。

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