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.
{"title":"Robotic Motion Control via P300-based Brain-Computer Interface System","authors":"Boning Li, Jinsha Liu, Jianting Cao","doi":"10.24297/ijct.v23i.9538","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9538","url":null,"abstract":"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.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135634034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hamid Fsian, Vahid Mohammadi, Pierre Gouton, Saeid Minaei
Stereo Matching is one of the classical problems in computer vision for the extraction of 3D information but still controversial for accuracy and processing costs. The use of matching techniques and cost functions is crucial in the development of the disparity map. This paper presents a comparative study of six different stereo matching algorithms including Block Matching (BM), Block Matching with Dynamic Programming (BMDP), Belief Propagation (BP), Gradient Feature Matching (GF), Histogram of Oriented Gradient (HOG) and Fixed-Window Aggregated Cost (FWAC). In addition, three cost functions, namely, Mean Squared Error (MSE), Sum of Absolute Differences (SAD), and Normalized Cross-Correlation (NCC) were utilized and compared. The stereo images used in this study were obtained from the Middlebury Stereo Datasets provided with perfect and imperfect calibrations. It was observed that the selection of matching function is quite important and also depends on the image properties. Results showed that the BP algorithm in most cases provided better results achieving accuracies over 95%. Accordingly, BP algorithm is highly recommended based on rapidity and performance and for applications with the need of detection of small details, HOG is advised.
立体匹配是计算机视觉中三维信息提取的经典问题之一，但在精度和处理成本等方面一直存在争议。匹配技术和成本函数的使用在视差图的开发中是至关重要的。本文对分块匹配(BM)、动态规划分块匹配(BMDP)、信念传播(BP)、梯度特征匹配(GF)、定向梯度直方图(HOG)和固定窗口聚合代价(FWAC)等六种立体匹配算法进行了比较研究。此外，利用均方误差(Mean Squared Error, MSE)、绝对差和(Sum of Absolute difference, SAD)和归一化相互关系(Normalized Cross-Correlation, NCC)三个成本函数进行了比较。本研究中使用的立体图像来自Middlebury立体数据集，提供了完美和不完美的校准。结果表明，匹配函数的选择非常重要，并且取决于图像的属性。结果表明，BP算法在大多数情况下提供了更好的结果，准确率超过95%。因此，基于速度和性能，强烈推荐BP算法，对于需要检测小细节的应用，建议使用HOG算法。
{"title":"Comparison of Stereo Matching Algorithms for the Development of Disparity Map","authors":"Hamid Fsian, Vahid Mohammadi, Pierre Gouton, Saeid Minaei","doi":"10.24297/ijct.v23i.9390","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9390","url":null,"abstract":"Stereo Matching is one of the classical problems in computer vision for the extraction of 3D information but still controversial for accuracy and processing costs. The use of matching techniques and cost functions is crucial in the development of the disparity map. This paper presents a comparative study of six different stereo matching algorithms including Block Matching (BM), Block Matching with Dynamic Programming (BMDP), Belief Propagation (BP), Gradient Feature Matching (GF), Histogram of Oriented Gradient (HOG) and Fixed-Window Aggregated Cost (FWAC). In addition, three cost functions, namely, Mean Squared Error (MSE), Sum of Absolute Differences (SAD), and Normalized Cross-Correlation (NCC) were utilized and compared. The stereo images used in this study were obtained from the Middlebury Stereo Datasets provided with perfect and imperfect calibrations. It was observed that the selection of matching function is quite important and also depends on the image properties. Results showed that the BP algorithm in most cases provided better results achieving accuracies over 95%. Accordingly, BP algorithm is highly recommended based on rapidity and performance and for applications with the need of detection of small details, HOG is advised.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135821797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijcaet.2023.131919
K. R. Erzaij
{"title":"Optimisation of the delay in the portfolio construction using GSA","authors":"K. R. Erzaij","doi":"10.1504/ijcaet.2023.131919","DOIUrl":"https://doi.org/10.1504/ijcaet.2023.131919","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66715152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijcaet.2023.131922
Raj Kumar, P. Singh, Jainath Yadav
{"title":"Digital image watermarking technique based on adaptive median filter and HL sub-band of two-stage DWT","authors":"Raj Kumar, P. Singh, Jainath Yadav","doi":"10.1504/ijcaet.2023.131922","DOIUrl":"https://doi.org/10.1504/ijcaet.2023.131922","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66715288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijcaet.2023.131942
Tainá Alves Townsend, C. Pedron, Rodrigo Menezes d, E. Souza, R. Ruas
{"title":"Industry 4.0 projects: a set of new individual competencies","authors":"Tainá Alves Townsend, C. Pedron, Rodrigo Menezes d, E. Souza, R. Ruas","doi":"10.1504/ijcaet.2023.131942","DOIUrl":"https://doi.org/10.1504/ijcaet.2023.131942","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66715306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/IJCAET.2022.10039972
N. A. Amandeep, S. Padhee
{"title":"Plates with functionally graded materials under thermo-mechanical loading: a study","authors":"N. A. Amandeep, S. Padhee","doi":"10.1504/IJCAET.2022.10039972","DOIUrl":"https://doi.org/10.1504/IJCAET.2022.10039972","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66714808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/IJCAET.2022.10037404
Muralidhar Pantula
{"title":"A study on media players from an accessibility perspective","authors":"Muralidhar Pantula","doi":"10.1504/IJCAET.2022.10037404","DOIUrl":"https://doi.org/10.1504/IJCAET.2022.10037404","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66714791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 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.
{"title":"Autonomous approach for moving object detection and classification in road applications","authors":"Imane El Manaa, Fadwa Benjelloun, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah Aarab","doi":"10.1504/ijcaet.2023.127798","DOIUrl":"https://doi.org/10.1504/ijcaet.2023.127798","url":null,"abstract":"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.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1504/IJCAET.2022.124537
Y. Al-Mashhadany
{"title":"Design intelligent solar cell tester system based on microcontroller with handling robot","authors":"Y. Al-Mashhadany","doi":"10.1504/IJCAET.2022.124537","DOIUrl":"https://doi.org/10.1504/IJCAET.2022.124537","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66715102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1504/ijcaet.2022.10048162
Senthilkumar Mohan, Jabbar El Gburi, Gautam Srivastava
{"title":"Secure voting system for elections","authors":"Senthilkumar Mohan, Jabbar El Gburi, Gautam Srivastava","doi":"10.1504/ijcaet.2022.10048162","DOIUrl":"https://doi.org/10.1504/ijcaet.2022.10048162","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73001848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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