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首页> 外文会议>2014 International Conference on Advances in Engineering and Technology Research >sEMG based human computer interface for robotic wheel
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sEMG based human computer interface for robotic wheel

机译：基于sEMG的人机轮人机界面

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摘要

This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. (Abstract) In this paper, a real-time experimental of Hand Gesture sEMG signal using artificial neural networks for Wheel Vehicle Control is proposed. The raw SEMG signals been captured from SEMG amplifier, up to 8 channels of NI-DAQ card responses data will be combined and a fine tuning step by using pattern classification. The database then been build and use for real-time experimental control classification. Captured data will send through serial port and - Wheel Machine will receive and move accordingly. The detail of the experiment and simulation conducted described here to verify the differentiation and effectiveness of combined channels sEMG pattern classification of hand gesture for real-time control.
机译：该电子文档是“实时”模板。纸张的各个组成部分[标题，文本，标题等]已在样式表上定义，如本文档中给出的部分所示。 （摘要）本文提出了使用人工神经网络进行轮毂车辆控制的手势sEMG信号的实时实验。从SEMG放大器捕获原始的SEMG信号，将组合多达8个NI-DAQ卡响应数据通道，并通过模式分类进行微调。然后建立数据库并用于实时实验控制分类。捕获的数据将通过串行端口发送，并且-Wheel Machine将接收并相应移动。此处描述的实验和仿真细节旨在验证用于实时控制的手势组合通道sEMG模式分类的区别和有效性。

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