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Design and Implementation of Wheelchair Controller Based Electroencephalogram Signal using Microcontroller

机译:基于单片机的轮椅控制器脑电信号的设计与实现

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Wheelchair is a medical device that can help patients, especially for persons with physical disabilities. In this research has designed a wheelchair that can be controlled using brain wave. Mind wave device is used as a sensor to capture brain waves. Fuzzy method is used to process data from mind wave. In the design was used a modified wheelchair (original wheelchair modified with addition dc motor that can be control using microcontroller ). After processing data from mindwave using fuzzy method, then microcontroller ordered dc motor to rotate.The dc motor connected to gear of wheelchair using chain. So when the dc motor rotated the wheelchair rotated as well. Controlling of DC motor used PID control method. Input encoder was used as feedback for PID control at each wheel.From the experimental results concentration level data of the human brain waves can be used to adjust the rate of speed of the wheelchair. The level accuracy of respons Fuzzy method ton system obtained by devide total true respons data with total tested data and the result is 85.71 %. Wheelchairs can run at a maximum speed of 31.5 cm/s when the battery voltage is more than 24.05V. Moreover, the maximum load of wheelchair is 110 kg.
机译:轮椅是一种医疗设备,可以帮助患者,特别是对于身体残障的患者。在这项研究中,设计了一种可以使用脑电波控制的轮椅。心电波设备用作捕获脑电波的传感器。模糊方法用于处理来自心智波的数据。在设计中使用了改进的轮椅(可通过微控制器控制的带有附加直流电动机的原始轮椅)。用模糊方法处理了来自心波的数据后,微控制器命令直流电动机旋转。该直流电动机通过链条连接到轮椅的齿轮上。因此,当直流电动机旋转时,轮椅也会旋转。直流电动机的控制采用PID控制方式。输入编码器用作每个车轮的PID控制的反馈。根据实验结果,人脑波的浓度水平数据可用于调整轮椅的速度。将全部真实响应数据与全部测试数据相乘得到的响应模糊方法吨位的水平精度为85.71%。当电池电压超过24.05V时,轮椅可以以31.5 cm / s的最大速度运行。此外,轮椅的最大负载为110公斤。

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