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首页> 外文期刊>International Journal of Engineering Trends and Technology >EEG Based Brain Controlled Mobile Arm Pick and Place robot
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EEG Based Brain Controlled Mobile Arm Pick and Place robot

机译:基于脑电图的脑控移动手臂抓放机器人

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The Human brain has several neuron. Here we examine the brain wave signal .Different brain wave states has different neural conversation. The neural conversation is done by the neurons. In this the EEG signal from our brain is measured using sensor , attention value is taken while blinking our eyes and connected via Brain computer interface (BCI) .The pattern of brain signal has different amplitude and frequencies. The sensor transmits the signal into packet by using the Bluetooth. Where ARM7 processor is used in interface. BCI used for straight communication between brain and robot.. the raw data is converted into signal using MATLAB GUI platform .Through the BCI interface we control the arm and whole robot. The main aim of the project is for the physically disabled person to become independent on others in their daily life time for their purposes.
机译:人脑有几个神经元。这里我们检查脑电波信号。不同的脑电波状态具有不同的神经对话。神经对话是由神经元完成的。在这种情况下,使用传感器来测量来自大脑的脑电信号,眨眼并通过大脑计算机接口(BCI)连接来获取注意力值。大脑信号的模式具有不同的幅度和频率。传感器使用蓝牙将信号发送到数据包中。接口中使用ARM7处理器的位置。 BCI用于大脑和机器人之间的直接通信。原始数据通过MATLAB GUI平台转换为信号。通过BCI接口,我们可以控制手臂和整个机器人。该项目的主要目的是使残障人士在日常生活中变得独立于他人。

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