基于TGAM的智能脑控轮椅

Xinying Yu, Shaoda Xie
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引用次数: 0

摘要

提出了一种基于TGAM模块的脑控轮椅系统,可以提高严重运动障碍患者的生活质量。采用TGAM作为脑电信号采集和处理模块。脑电图数据通过蓝牙模块传输到微控制器。对数据进行验证并解析浓度参数,将浓度值转换为轮椅的速度参数,将关键状态转换为轮椅运动方向参数,根据用户的实时浓度控制轮椅运动。实验结果表明,TGAM模块能够准确采集脑电信号,单片机能够对脑电信号的浓度数据进行分析,并通过电机控制轮椅的前进、后退和转向。该智能轮椅结构简单,操作方便,功能稳定。使用者只需集中注意力即可操作,为行走困难人士提供了一种新的便捷轮椅控制方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A smart brain controlled wheelchair based on TGAM
A brain-controlled wheelchair system based on TGAM module is proposed, which can improve people quality of life which suffering from severe movement disorders. The TGAM is used as the EEG signals acquisition and processing module. The EEG data is transmitted to the micro-controller through the Bluetooth module. The data is validated and the concentration parameter is parsed, the concentration value is converted into the speed parameter of the wheelchair, and the key state is converted into the wheelchair movement direction parameter, to control the wheelchair movement according to the user's real-time concentration. The test results show that the TGAM module can accurately collect EEG signals, and the micro-controller can analyze the concentration data, and control the wheelchair's forward, backward and turn through the motor. The intelligent wheelchair is simple, easy to operate, and stable in function. It can be operated only through the user's concentration, providing a new convenient wheelchair control mode for people with walking difficulties.
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