共查询到20条相似文献,搜索用时 15 毫秒
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结合嵌入式系统和脑-机接口技术,构建MindAuto———意念赛车系统。首先以TGAM为核心制作脑电采集设备MindReader,进行脑电数据的采集;其次通过蓝牙将MindReader和PC机相连,将采集到的脑波原始数据raw data、注意力值Attention、放松度值Meditation和眨眼强度值Blink传输到PC机,利用eSense算法将脑电数据进行量化;然后通过蓝牙无线连接到Arduino智能小车平台,通过I/O控制口实现脑波对小车的控制;最后结合多功能轨道模型,实现此控制系统。 相似文献
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本项目是通过MindWave Mobile与手机终端的结合,设计了意念控制的射击游戏,使用MindWave Mobile耳机作为脑波接收器,通过蓝牙模块传输数据至移动终端,通过在移动终端上的游戏软件接受数据并处理,作为参数用于游戏控制,为玩家提供新鲜体验感用于娱乐的同时,也可用于训练用户的集中度.并且有助于分析人类集中度变化的函数曲线,采集的数据有助于分析人类大脑进行后续研究.并且本项目应实现MindWave Mobile耳机与手机终端的直接连接,而不需通过PC机作为中介平台,可广泛应用于智能移动终端游戏、教育及儿童注意力训练等领域. 相似文献
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多功能语音人机接口模块的设计及实现 总被引:1,自引:0,他引:1
介绍了多功能语音人机接口模块的设计思想与组成架构,给出了键盘接口、RS232接口、语音录放及液晶显示等单元电路的设计实现方法,着重阐述了语音录放和液晶显示单元电路的设计与实现,并提供了经调试通过的关键程序代码. 相似文献
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为了实现人机交互界面的高效率开发,设计了基于实时操作系统的通用GUI设计平台,对该平台所采用的命令/数据传输算法和交互界面/主控端同步算法进行研究。使用S3C2440处理器直接驱动TFT液晶屏和四线电阻触摸屏建立硬件平台,接着移植实时系统到该平台,然后利用实时系统中的任务与交互界面中的按键关联的算法和传输数据与系统中断关联的算法,建立惟一的"命令—数据"传输通道,最后通过串口与主控端协同,实现交互界面与主控端的同步。测试结果表明,使用该平台分别设计了主控端程序和与之相配的2阶交互界面,完整地实现了界面的切换,数据/状态的显示,命令/数据的传递,与传统的界面/主控一体化设计方法相比降低了90%以上的调试时间,随着界面复杂度的增加,调试的时间可减少到传统方法的5%以下。基本满足多种场合图形用户界面设计的需要。 相似文献
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随着企业数据存储量的迅猛增长,对光纤通道交换机的数据转发速率要求越来越高.高速的交换机首先需要高速的接口.设计了一种基于FPGA的、通道速率达到2Gb/s的光纤通道交换机接口.对设计进行功能仿真,测试了其逻辑功能,并通过16×16光纤通道交换机的FPGA实现,验证了接口的功能和数据传输速率. 相似文献
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《现代电子技术》2016,(9):61-65
在现有的各种脑机接口实现范例中,基于c-VEP的脑机接口取得了最高的信息传输率,但这种脑机接口系统必须在刺激目标数与检测精度和检测速度之间进行折衷。要增加刺激目标数并保证识别率高,必须增加码长,然而,增加码长会导致识别一个目标所需的时间增加,降低信息传输率。针对这个问题,提出了使用不同编码分组调制刺激目标的方法。基于该方法,采用Golay码和近完美码各调制16个刺激目标,目标识别的方法是先获取两组目标的参考模板,分别对两个模板做移位得到所有目标的模板,再运用模板匹配法对目标进行识别。7位受试者在一个刺激周期的平均分类准确率高达92.34%,研究结果表明该方法增加了刺激目标数,同时提高了识别率,缩短了检测时间。 相似文献
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一种多接口接入系统的网管功能的设计与实现 总被引:1,自引:0,他引:1
本多接口接入系统基于光纤环路传输设备,采用同步复接技术,提供多种64Kb/s速率的终端接口。提出了该接入系统网管功能的一种实现方案,利用了现有系统提供的串行通道和E1链路同步时隙提供的20Kb/s通道,设计了多套接入系统与网管PC间的多机通信方式、通信协议、以及接入系统中的控制软件和网管PC中的管理软件,实现了一套灵活有效的网管系统,提高了接入系统的可监管性和易用性。 相似文献
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BCI2000: a general-purpose brain-computer interface (BCI) system 总被引:1,自引:0,他引:1
Schalk G McFarland DJ Hinterberger T Birbaumer N Wolpaw JR 《IEEE transactions on bio-medical engineering》2004,51(6):1034-1043
Many laboratories have begun to develop brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and operating protocols. However, the typical BCI system is designed specifically for one particular BCI method and is, therefore, not suited to the systematic studies that are essential for continued progress. In response to this problem, we have developed a documented general-purpose BCI research and development platform called BCI2000. BCI2000 can incorporate alone or in combination any brain signals, signal processing methods, output devices, and operating protocols. This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BC12000 system is based upon and gives examples of successful BCI implementations using this system. To date, we have used BCI2000 to create BCI systems for a variety of brain signals, processing methods, and applications. The data show that these systems function well in online operation and that BCI2000 satisfies the stringent real-time requirements of BCI systems. By substantially reducing labor and cost, BCI2000 facilitates the implementation of different BCI systems and other psychophysiological experiments. It is available with full documentation and free of charge for research or educational purposes and is currently being used in a variety of studies by many research groups. 相似文献
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Dean J Krusienski Gerwin Schalk Dennis J McFarland Jonathan R Wolpaw 《IEEE transactions on bio-medical engineering》2007,54(2):273-280
A brain-computer interface (BCI) is a system that provides an alternate nonmuscular communication/control channel for individuals with severe neuromuscular disabilities. With proper training, individuals can learn to modulate the amplitude of specific electroencephalographic (EEG) components (e.g., the 8-12 Hz mu rhythm and 18-26 Hz beta rhythm) over the sensorimotor cortex and use them to control a cursor on a computer screen. Conventional spectral techniques for monitoring the continuous amplitude fluctuations fail to capture essential amplitude/phase relationships of the mu and beta rhythms in a compact fashion and, therefore, are suboptimal. By extracting the characteristic mu rhythm for a user, the exact morphology can be characterized and exploited as a matched filter. A simple, parameterized model for the characteristic mu rhythm is proposed and its effectiveness as a matched filter is examined online for a one-dimensional cursor control task. The results suggest that amplitude/phase coupling exists between the mu and beta bands during event-related desynchronization, and that an appropriate matched filter can provide improved performance. 相似文献
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全功能SPI接口的设计与实现 总被引:1,自引:0,他引:1
SPI(Serial Peripheral Interface,串行外围接口)是Motorola公司提出的外围接口协议,它采用一个串行、同步、全双工的通信方式,解决了微处理器和外设之间的串行通信问题,并且可以和多个外设直接通信,具有配置灵活,结构简单等优点。根据全功能SPI总线的特点,设计的SPI接口可以最大发送和接收16位数据:在主模式和从模式下SPI模块的时钟频率最大可以达到系统时钟的1/4,并且在主模式下可以提供具有四种不同相位和极性的时钟供从模块选择;可以同时进行发送和接收操作,拥有中断标志位和溢出中断标志位。 相似文献
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Eltaf Abdalsalam Mohd Zuki Yusoff Aamir Malik Nidal S. Kamel Dalia Mahmoud 《Signal, Image and Video Processing》2018,12(3):557-564
This research studies the impact of the imagination of movements and associated feedbacks on the modulation of sensorimotor electroencephalographic (EEG) rhythms, for the online controls of a brain-computer interface (BCI). Nine subjects with no physical or mental impairments were selected. The number of sessions was five: one calibration and four feedback sessions. A computer screen’s cursor movement was controlled in one dimension using EEG-based four-class BCI involving motor imagery tasks of moving the right hand, the left hand, both hands, or both feet. Our findings reveal that the visual feedback applied during motor imagery movement modulates sensorimotor EEG rhythms clearly in the mu and beta bands. The analyses of event-related desynchronization/synchronization (ERD/ERS) suggest significant differences between brain activities in the calibration and feedback sessions; large ERDs during the online feedback sessions compared to that in the calibration session have been observed. The increasing ERDs in the online feedback session were noticed over the mu1 (8–10 Hz) and upper beta (18–24 Hz) rhythms, resulting in the cursor control success rate at 73.3%. 相似文献