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Development of EMG measurement system to control mobile robot using frontalis and zygomaticus major muscles

机译:肌电测量系统的开发,该系统使用额肌和肌主要肌肉控制移动机器人

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The paper discusses the development of the facial-muscle controlled robotic systems. The main work in the research is to capture the facial muscle signal activities and leverage the information to control a small mobile robot movement. The characteristic of the facial muscle activities is discussed thoroughly in this paper. The EMG measurement system is developed to condition the signal before being fed into the controller of the mobile robot system. Three channels EMG measurement systems consisting of a set of instrumentation amplifiers INA128P and four precision amplifiers OP177 are used to construct the circuit. The signal captured is amplified by 8,415 factor and filtered using bandpass filter from 50Hz to 500Hz frequency range. PIC16F877A starter kit is used to convert the analog signal into the digital form before the data is transmitted to the receiver of the mobile robot by using XBee module upon which it responds accordingly. The system is interactive and could be an exciting alternative to relieve boredom of patient doing rehabilitation exercise post stroke.
机译:本文讨论了面部肌肉控制机器人系统的发展。该研究的主要工作是捕获面部肌肉信号活动,并利用该信息来控制小型移动机器人的运动。本文全面讨论了面部肌肉活动的特征。 EMG测量系统被开发为在将信号馈送到移动机器人系统的控制器之前对其进行调节。由一组仪表放大器INA128P和四个精密放大器OP177组成的三通道EMG测量系统用于构建电路。捕获的信号被放大8,415倍,并使用50Hz至500Hz频率范围内的带通滤波器进行滤波。 PIC16F877A入门工具包用于通过使用XBee模块将数据相应地响应,在将数据传输到移动机器人的接收器之前将模拟信号转换为数字形式。该系统是交互式的,可以减轻患者在中风后进行康复锻炼时的无聊感,是一种令人兴奋的选择。

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