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DEVELOPMENT OF AN EOG BASED ROBOT MANIPULATOR AND END POINT DIRECTION CONTROL SYSTEM

机译:基于EOG的机器人及其终点控制系统的研制。

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摘要

Electro-oculograph (EOG) is one of the biosignal that can be used to improve life quality in human machine interface area. EOG occurring as the eye activities changes the magnitude of potential between cornea and retina. This signal was used to control robot manipulator in four directions (up, down, left and right). To record this phenomenon we used NF Instrument with head box to amplify the signal and processor box to process digital filters. Combination of 3 digital filters, 1.6 Hz High Pass Filter, 60 Hz Low Pass Filter and 60 Hz Ham Filter and finalized by 6 Hz Low Pass Filter gave neat signal until the difference among the eye movements could be distinguished. This is a real time system since it could detect when a signal comes and send it to the robot manipulator system through Arduino microcontroller. The determination of the signal emersion was successfully calculated by the combination of wavelet transform with scale = 1 and translation = 0.31 and garbor filter with σ = 1. Since the average accuracy of the system is more than 90% so we can use this method for some extend applications later.
机译:电子眼动仪(EOG)是可用于改善人机界面区域生活质量的生物信号之一。当眼部活动改变角膜和视网膜之间电位的幅度时,会发生EOG。该信号用于在四个方向(上,下,左和右)控制机器人操纵器。为了记录这种现象,我们使用了带有仪表箱的NF仪器来放大信号,并使用处理器箱来处理数字滤波器。 3个数字滤波器,1.6 Hz高通滤波器,60 Hz低通滤波器和60 Hz火腿滤波器的组合,并由6 Hz低通滤波器最终确定,可以得到纯净的信号,直到可以分辨出眼球运动之间的差异。这是一个实时系统,因为它可以检测到信号何时到来,并通过Arduino微控制器将其发送到机器人操纵器系统。通过比例尺= 1和平移= 0.31的小波变换和σ= 1的garbor滤波器的组合,成功地计算出信号出现的确定。由于系统的平均精度超过90%,因此我们可以将这种方法用于一些稍后扩展应用程序。

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