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Robotic Motion Control via P300-based Brain-Computer Interface System 基于p300的脑机接口系统的机器人运动控制
Q4 Engineering Pub Date : 2023-11-06 DOI: 10.24297/ijct.v23i.9538
Boning Li, Jinsha Liu, Jianting Cao
BCI have ignited extensive research interest in fields such as neuroscience, artificial intelligence, and biomedical engineering, as they offer an opportunity to interact directly with the external environment  brain signals. Despite the immense potential for applications, practical use of BCI still faces several challenges, including equipment cost and operational complexity. This study aims to develop a Brain-Computer Interface system based on P300 visual stimuli, utilizing a low-cost, user-friendly portable Muse EEG equipment for data acquisition. We designed and implemented a P300 visual stimulator in a 3x3 grid pattern, acquire the user's EEG signals using the Muse EEG equipment, and classify the data using a SVM classifier, ultimately realizing control over robot movement. Offline experimental results demonstrated an accuracy of 84.1% for the classifier under offline stage, while online stage achieved a successful execution rate of 81.2%. These findings substantiate the feasibility and potential of using low-cost, portable devices like the Muse EEG equipment for BCI research, opening new avenues in the field.
脑机接口已经在神经科学、人工智能和生物医学工程等领域引发了广泛的研究兴趣,因为它们提供了与外部环境大脑信号直接交互的机会。尽管具有巨大的应用潜力,但BCI的实际应用仍然面临着一些挑战,包括设备成本和操作复杂性。本研究旨在开发基于P300视觉刺激的脑机接口系统,利用低成本、用户友好的便携式Muse脑电图设备进行数据采集。我们设计并实现了一个3x3网格模式的P300视觉刺激器,使用Muse EEG设备获取用户的脑电信号,并使用SVM分类器对数据进行分类,最终实现对机器人运动的控制。离线实验结果表明,该分类器在离线阶段的准确率为84.1%,在线阶段的执行成功率为81.2%。这些发现证实了使用Muse EEG设备等低成本便携式设备进行脑机接口研究的可行性和潜力,为该领域开辟了新的途径。
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引用次数: 0
Optimisation of the delay in the portfolio construction using GSA 利用GSA优化投资组合建设中的延迟
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcaet.2023.131919
K. R. Erzaij
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引用次数: 0
Digital image watermarking technique based on adaptive median filter and HL sub-band of two-stage DWT 基于自适应中值滤波和二级小波变换HL子带的数字图像水印技术
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcaet.2023.131922
Raj Kumar, P. Singh, Jainath Yadav
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引用次数: 0
Industry 4.0 projects: a set of new individual competencies 工业4.0项目:一系列新的个人能力
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcaet.2023.131942
Tainá Alves Townsend, C. Pedron, Rodrigo Menezes d, E. Souza, R. Ruas
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引用次数: 0
Plates with functionally graded materials under thermo-mechanical loading: a study 热机械载荷下功能梯度材料板的研究
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/IJCAET.2022.10039972
N. A. Amandeep, S. Padhee
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引用次数: 0
A study on media players from an accessibility perspective 可访问性视角下的媒体播放器研究
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/IJCAET.2022.10037404
Muralidhar Pantula
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引用次数: 0
Autonomous approach for moving object detection and classification in road applications 道路应用中移动目标检测和分类的自主方法
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcaet.2023.127798
Imane El Manaa, Fadwa Benjelloun, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah Aarab
Our paper presents robust approaches for all moving object detection processes. First of all, we propose an automatic and non-parametric method in the segmentation phase based on Delaunay triangulation applied to the image histogram. For the feature extraction phase, we proceed by the GLCM technique for textural feature extraction and the HSV histogram method for the colour feature extraction. Those features will be used as input of the support vector machine (SVM) algorithm to design a robust classification model that will be used to differentiate between moving and static objects. Thus, static objects will be considered as a part of background, and in the other hand moving objects are surrounded by a bounding box in furtherance of careful tracking.
我们的论文提出了所有运动目标检测过程的鲁棒方法。首先,我们提出了一种基于Delaunay三角剖分的图像直方图自动非参数分割方法。在特征提取阶段,采用GLCM技术进行纹理特征提取,HSV直方图方法进行颜色特征提取。这些特征将被用作支持向量机(SVM)算法的输入,以设计一个鲁棒的分类模型,该模型将用于区分运动和静态物体。因此,静态物体将被视为背景的一部分,而另一方面,运动物体被包围在一个边界框中,以促进仔细的跟踪。
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引用次数: 1
Design intelligent solar cell tester system based on microcontroller with handling robot 设计了基于单片机和搬运机器人的智能太阳能电池测试系统
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/IJCAET.2022.124537
Y. Al-Mashhadany
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引用次数: 0
Secure voting system for elections 确保选举的投票系统安全
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijcaet.2022.10048162
Senthilkumar Mohan, Jabbar El Gburi, Gautam Srivastava
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引用次数: 0
Technology for improved operating room scheduling - a case of Kilimanjaro Christian Medical Center of Tanzania 改进手术室调度的技术——坦桑尼亚乞力马扎罗山基督教医疗中心一例
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijcaet.2022.10042013
Kambombo Mtonga, S. Kumaran, Kayalvizhi Jayavel, C. Mikeka
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引用次数: 0
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International Journal of Computer Aided Engineering and Technology
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