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Construction of Wrist EMG Pattern Recognition System By Neural Networks

机译:神经网络构建手腕EMG模式识别系统

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摘要

In recent years, a model in which information terminals including a mobile phone have a highly efficient performance by progress of IT technology is spreading. If such a standard is used, it will be thought that it becomes possible to collect the operation interface of various apparatus with one equipment and to perform it. However, such a device has not been provided yet. Then, in this paper, a recognition system of wrist operations is proposed by paying attention to ElectroMyoGram (EMG) which is the living body signal generated with at-any-time movement of a subject. Recognition using the Fast Fourier Transform (FFT) and Neural Networks (NN) is carried out.
机译:近年来,一种模型,其中包括移动电话的信息终端通过IT技术的进步蔓延的高效性能。 如果使用了这样的标准,则认为可以收集各种设备的操作界面,其中各种设备并执行它。 但是,尚未提供这样的设备。 然后,在本文中,通过注意电灰度(EMG)来提出识别操作的识别系统,该电灰度是由受试者的任何时间运动产生的生物体信号。 执行使用快速傅里叶变换(FFT)和神经网络(NN)的识别。

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