国产bbaaaaa片,成年美女黄网站色视频免费,成年黄大片,а天堂中文最新一区二区三区,成人精品视频一区二区三区尤物

首頁(yè)> 美國(guó)衛(wèi)生研究院文獻(xiàn)>Journal of Visualized Experiments : JoVE >SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
【2h】

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

機(jī)譯：基于SSVEP的人機(jī)機(jī)器人與人機(jī)交互的實(shí)驗(yàn)程序

代理獲取
本網(wǎng)站僅為用戶提供外文OA文獻(xiàn)查詢和代理獲取服務(wù)，本網(wǎng)站沒(méi)有原文。下單后我們將采用程序或人工為您竭誠(chéng)獲取高質(zhì)量的原文，但由于OA文獻(xiàn)來(lái)源多樣且變更頻繁，仍可能出現(xiàn)獲取不到、文獻(xiàn)不完整或與標(biāo)題不符等情況，如果獲取不到我們將提供退款服務(wù)。請(qǐng)知悉。
  • 摘要
  • 著錄項(xiàng)
  • 相似文獻(xiàn)
  • 相關(guān)主題

摘要

Brain-Robot Interaction (BRI), which provides an innovative communication pathway between human and a robotic device via brain signals, is prospective in helping the disabled in their daily lives. The overall goal of our method is to establish an SSVEP-based experimental procedure by integrating multiple software programs, such as OpenViBE, Choregraph, and Central software as well as user developed programs written in C++ and MATLAB, to enable the study of brain-robot interaction with humanoid robots.This is achieved by first placing EEG electrodes on a human subject to measure the brain responses through an EEG data acquisition system. A user interface is used to elicit SSVEP responses and to display video feedback in the closed-loop control experiments. The second step is to record the EEG signals of first-time subjects, to analyze their SSVEP features offline, and to train the classifier for each subject. Next, the Online Signal Processor and the Robot Controller are configured for the online control of a humanoid robot. As the final step, the subject completes three specific closed-loop control experiments within different environments to evaluate the brain-robot interaction performance.The advantage of this approach is its reliability and flexibility because it is developed by integrating multiple software programs. The results show that using this approach, the subject is capable of interacting with the humanoid robot via brain signals. This allows the mind-controlled humanoid robot to perform typical tasks that are popular in robotic research and are helpful in assisting the disabled.
機(jī)譯：腦機(jī)互動(dòng)（BRI）通過(guò)大腦信號(hào)在人與機(jī)器人設(shè)備之間提供創(chuàng)新的通信路徑，有望幫助殘疾人實(shí)現(xiàn)日常生活。我們方法的總體目標(biāo)是通過(guò)集成多個(gè)軟件程序（例如OpenViBE，Choregraph和Central軟件以及用C ++和MATLAB編寫(xiě)的用戶開(kāi)發(fā)程序）來(lái)建立基于SSVEP的實(shí)驗(yàn)程序，從而能夠研究腦機(jī)器人通過(guò)首先將EEG電極放置在人類受試者上以通過(guò)EEG數(shù)據(jù)采集系統(tǒng)測(cè)量大腦反應(yīng)來(lái)實(shí)現(xiàn)。用戶界面用于引發(fā)SSVEP響應(yīng)并在閉環(huán)控制實(shí)驗(yàn)中顯示視頻反饋。第二步是記錄初學(xué)者的腦電信號(hào)，離線分析其SSVEP特征，并訓(xùn)練每個(gè)受試者的分類器。接下來(lái)，將在線信號(hào)處理器和機(jī)器人控制器配置為對(duì)人形機(jī)器人進(jìn)行在線控制。作為最后一步，該對(duì)象在不同的??環(huán)境中完成了三個(gè)特定的閉環(huán)控制實(shí)驗(yàn)，以評(píng)估腦-機(jī)器人交互性能。此方法的優(yōu)點(diǎn)是其可靠性和靈活性，因?yàn)樗峭ㄟ^(guò)集成多個(gè)軟件程序開(kāi)發(fā)的。結(jié)果表明，使用這種方法，受試者能夠通過(guò)大腦信號(hào)與人形機(jī)器人互動(dòng)。這使受精神控制的類人機(jī)器人能夠執(zhí)行機(jī)器人研究中流行的典型任務(wù)，并有助于協(xié)助殘疾人。

著錄項(xiàng)

相似文獻(xiàn)

  • 外文文獻(xiàn)
  • 中文文獻(xiàn)
  • 專利
代理獲取

客服郵箱：kefu@zhangqiaokeyan.com

京公網(wǎng)安備：11010802029741號(hào) ICP備案號(hào)：京ICP備15016152號(hào)-6 六維聯(lián)合信息科技 (北京) 有限公司?版權(quán)所有

  • 客服微信

  • 服務(wù)號(hào)