基于TGAM脑波模块的小车控制系统
|
摘要
设计一款基于ATMEGA 2560控制器的小车控制系统,通过Neuro Sky TGAM意念传感器采集人体大脑脑电波数据,用蓝牙传输至ATMEGA 2560处理器,处理器将人的"专注力"值发给小车,实现了不同精神状态对小车车速的控制。将小车的车速一共分为五个等级,专注力的值越高,PWM占空比就越大,小车的车速就越快。测试结果表明,该系统控制小车的速度反应灵敏、稳定性较高的特点,该技术可以推广至对医疗(电动轮椅)和工业的控制方面的应用。
The design of a car speed control system based on ATMEGA 2560 controller, through the Neuro Sky TGAM mind sensor acquisition of human brain EEG data using Bluetooth transmission to ATMEGA 2560 processor, the processor is the "focus" to the value of the car, realizes the control of different mental state of the car speed. The speed of the car is divided into five grades, the higher the value of concentration, the greater the PWM duty cycle, the faster the car speed. The test results show that the system has the characteristics of speed control, quick response and high stability. The technology can be extended to the medical(electric wheelchair) and industrial control applications.
The design of a car speed control system based on ATMEGA 2560 controller, through the Neuro Sky TGAM mind sensor acquisition of human brain EEG data using Bluetooth transmission to ATMEGA 2560 processor, the processor is the "focus" to the value of the car, realizes the control of different mental state of the car speed. The speed of the car is divided into five grades, the higher the value of concentration, the greater the PWM duty cycle, the faster the car speed. The test results show that the system has the characteristics of speed control, quick response and high stability. The technology can be extended to the medical(electric wheelchair) and industrial control applications.
引文
[1]王娇娜,刘纪红,张力等.基于脑-机接口的无线智能机器人控制系统[J].电子技术应用,2012,38(8):119-125.
[2]王根,方慧娟,罗登.基于事件相关电位的BCI新型输入系统研究[J].微型机与应用,2013,32(7):66-68.
[3]赵进创,马超,潘屏萍等.基于单通道脑机接口的小车控制系统设计[J].电子技术应用,2014,40(4):22-28.
[4]YU TIANYOU,LI YUANQING.Enhanced Motor Imagery Training Using a Hybrid BCI with Feedback[J].IEEETransactions on Biomedical Engineering,2015,62(7):1706-1717.
[5]张俊伟,刘建平.脑机接口技术的研究进展[J].国际生物医学工程杂志,2013,36(4):250-253.
[6]柳超明,陈书宏.自动轨道小车的实时位置控制算法[J].制造业自动化,2013,35(5):58-62.
[7]刘远明,李道霖.感应式循迹小车的设计与实现[J].电子设计工程,2010,19(10):70-73.
[8]秦学斌,张一哲,汪梅.脑波信号控制轨道小车系统的研制[J].计算机工程与应用,2016,(10):1-7.
[2]王根,方慧娟,罗登.基于事件相关电位的BCI新型输入系统研究[J].微型机与应用,2013,32(7):66-68.
[3]赵进创,马超,潘屏萍等.基于单通道脑机接口的小车控制系统设计[J].电子技术应用,2014,40(4):22-28.
[4]YU TIANYOU,LI YUANQING.Enhanced Motor Imagery Training Using a Hybrid BCI with Feedback[J].IEEETransactions on Biomedical Engineering,2015,62(7):1706-1717.
[5]张俊伟,刘建平.脑机接口技术的研究进展[J].国际生物医学工程杂志,2013,36(4):250-253.
[6]柳超明,陈书宏.自动轨道小车的实时位置控制算法[J].制造业自动化,2013,35(5):58-62.
[7]刘远明,李道霖.感应式循迹小车的设计与实现[J].电子设计工程,2010,19(10):70-73.
[8]秦学斌,张一哲,汪梅.脑波信号控制轨道小车系统的研制[J].计算机工程与应用,2016,(10):1-7.