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基于脑电波信号的智能小车控制设计 被引量:4

The design on intelligent car controlling by brain signals
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摘要 基于神念科技mindband脑电波传感器,本文主要进行了智能小车控制方法的研究和设计。通过对脑电波的采集和后期对mindband输出数据进行解析,进而得到所需要的专注度参数;解析数据及控制小车的主控器采用MSP430F1XX系列的单片机;采用了基于蓝牙2.0技术的蓝牙模块实现数据通信;动力系统包括L298N电机驱动模块、2个独立的直流电动机和万向轮;软件部分主要使用C语言进行开发,程序核心部分是mindband通信协议的解析。设计最终通过专注度的不同数值实现了小车运动状态的控制,为进一步推广应用打下了基础。 Based on the brain wave mindband sensor of NeuroSky Inc., the research and design of intelligent car control method are described. Through the acquisition of brain wave and the analysis of the output data of mindband sensor, the required concentration parameter can be obtained. Data analysis and the main controller of the car are carried out by MSP430F1XX series MCU( Micro Control Unit) ; Data communication is realized by wireless transmission using Bluetooth 2.0 module; Power system includes L298N motor drive module, two independent DC motors and a universal wheel; C language is used in software development part, in which the analysis of mindband communication protocol is the core of the program. Finally, the movement state of the car is controlled successfully by the different values of concentration parameter, which offers a foundation for further application.
出处 《智能计算机与应用》 2017年第4期104-107,共4页 Intelligent Computer and Applications
基金 天津市品牌专业项目(SEW1330102) 天津市大学生创新创业训练计划项目(09950140202) 天津职业技术师范大学教改项目(XJJW0431)
关键词 脑电波 mindband传感器 MSP430单片机 蓝牙 专注参数 通信协议 brain wave mindband sensor MSP430 MCU bluetooth concentration parameter communication protocol
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