matlab肌电信号处理代码-DTW_ANN_EPN_Matlab:这是手势识别模型的示例,用于在Matlab中管理EMG-EPN2020数据

上传者: 38706197 | 上传时间: 2021-06-08 09:25:56 | 文件大小: 63.85MB | 文件类型: ZIP
matlab肌电信号处理代码介绍 本文档简要描述了运行Matlab代码以管理我们建议的EMG数据库所需的步骤。 我们基于人工前馈神经网络实现了实时手势识别,以测试每个用户的数据。 描述 “手势模型示例MATLAB”文件夹包含用于管理EMG数据库的Matlab代码。 每个脚本均包含其功能的说明以及版权信息。 如果您要将数据集和代码用于商业目的,请联系论文的通讯作者Marco E.Benalcázar。 描述 Matlab 2019a或更高版本 深度学习工具箱 信号处理工具箱 Matlab的说明: 转到我们的GitHub存储库,下载或克隆示例以在Matlab中管理数据集。 打开Matlab并选择示例文件夹。 通过运行文件夹/ DTW距离中的脚本compileDTWC.m来编译计算DTW距离的mex函数。 您只需在将运行代码的计算机中执行一次此步骤。 在从以下链接运行代码之前,请下载数据集: 复制并替换与下载的存储库文件夹中的数据集对应的文件夹。 运行脚本main.m运行此脚本后,您将需要等待几分钟以获得结果。 在变量userFolder中,您可以更改测试或培训以选择用户组。 在我们的案例中

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