scholarly journals User Adapted Motor-Imaginary Brain-Computer Interface by means of EEG Channel Selection Based on Estimation of Distributed Algorithms

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Aitzol Astigarraga ◽  
Andoni Arruti ◽  
Javier Muguerza ◽  
Roberto Santana ◽  
Jose I. Martin ◽  
...  
Keyword(s):  
Interface Design ◽  
Design Method ◽  
Channel Selection ◽  
Research Field ◽  
Search Range ◽  
Step Method ◽  
Computer Interfaces ◽  
Estimation Of Distribution ◽  
Improving Accuracy ◽  
Electroencephalogram Eeg

Brain-Computer Interfaces (BCIs) have become a research field with interesting applications, and it can be inferred from published papers that different persons activate different parts of the brain to perform the same action. This paper presents a personalized interface design method, for electroencephalogram- (EEG-) based BCIs, based on channel selection. We describe a novel two-step method in which firstly a computationally inexpensive greedy algorithm finds an adequate search range; and, then, an Estimation of Distribution Algorithm (EDA) is applied in the reduced range to obtain the optimal channel subset. The use of the EDA allows us to select the most interacting channels subset, removing the irrelevant and noisy ones, thus selecting the most discriminative subset of channels for each user improving accuracy. The method is tested on the IIIa dataset from the BCI competition III. Experimental results show that the resulting channel subset is consistent with motor-imaginary-related neurophysiological principles and, on the other hand, optimizes performance reducing the number of channels.

scholarly journals Evolutionary Multitasking-Based Multiobjective Optimization Algorithm for Channel Selection in Hybrid Brain Computer Interfacing Systems

2021 ◽  
Vol 15 ◽  
Author(s):  
Tianyu Liu ◽  
Zhixiong Xu ◽  
Lei Cao ◽  
Guowei Tan
Keyword(s):  
Multiobjective Optimization ◽  
Real Life ◽  
Channel Selection ◽  
Research Field ◽  
Neural Engineering ◽  
Computer Interfaces ◽  
Classification Tasks ◽  
Optimization Methodology ◽  
Brain Computer Interfacing ◽  
Selection Of

Hybrid-modality brain-computer Interfaces (BCIs), which combine motor imagery (MI) bio-signals and steady-state visual evoked potentials (SSVEPs), has attracted wide attention in the research field of neural engineering. The number of channels should be as small as possible for real-life applications. However, most of recent works about channel selection only focus on either the performance of classification task or the effectiveness of device control. Few works conduct channel selection for MI and SSVEP classification tasks simultaneously. In this paper, a multitasking-based multiobjective evolutionary algorithm (EMMOA) was proposed to select appropriate channels for these two classification tasks at the same time. Moreover, a two-stage framework was introduced to balance the number of selected channels and the classification accuracy in the proposed algorithm. The experimental results verified the feasibility of multiobjective optimization methodology for channel selection of hybrid BCI tasks.

Feedback Modalities in Brain–Computer Interfaces: A Systematic Review

2020 ◽  
Vol 64 (1) ◽  
pp. 1186-1190
Author(s):  
Wakana Ishihara ◽  
Karen Moxon ◽  
Sheryl Ehrman ◽  
Mark Yarborough ◽  
Tina L. Panontin ◽  
...  
Keyword(s):  
Systematic Review ◽  
Visual Feedback ◽  
Auditory Feedback ◽  
Brain Computer Interface ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Computer Interface ◽  
Computer Interfaces ◽  
Feedback Modalities ◽  
Improving Accuracy

This systematic review addresses the plausibility of using novel feedback modalities for brain–computer interface (BCI) and attempts to identify the best feedback modality on the basis of the effectiveness or learning rate. Out of the chosen studies, it was found that 100% of studies tested visual feedback, 31.6% tested auditory feedback, 57.9% tested tactile feedback, and 21.1% tested proprioceptive feedback. Visual feedback was included in every study design because it was intrinsic to the response of the task (e.g. seeing a cursor move). However, when used alone, it was not very effective at improving accuracy or learning. Proprioceptive feedback was most successful at increasing the effectiveness of motor imagery BCI tasks involving neuroprosthetics. The use of auditory and tactile feedback resulted in mixed results. The limitations of this current study and further study recommendations are discussed.

scholarly journals Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces

2005 ◽  
Vol 2005 (19) ◽  
Author(s):  
Michael Schröder ◽  
Thomas Navin Lal ◽  
Thilo Hinterberger ◽  
Martin Bogdan ◽  
N. Jeremy Hill ◽  
...  
Keyword(s):  
Channel Selection ◽  
Brain Computer Interfaces ◽  
Computer Interfaces

scholarly journals Desaign of Converter Hijri Calendar to Ad Calendar for Determaning Islamic Great Days Using Matlab

2017 ◽  
Vol 2 (1) ◽  
pp. 109
Author(s):  
Uzlifa Khanifatul Muttaqi
Keyword(s):  
Interface Design ◽  
Design Method ◽  
Black Box ◽  
Feasibility Analysis ◽  
Matlab Software ◽  
Analysis Application ◽  
Box Method ◽  
Conversion Tool

<div style="text-align: justify;">This research is motivated by the importance of knowing an Islamic great day calendar on AD calendar. It was intended to answer the question: How to design converter Hijri calendar to AD calendar for determining Islamic great days using Matlab? The research used ‘design’ method, because it was one of activities to translate the result of analysis to software form and also used to develop an existing application. This application made by a Matlab software. Matlab was a conversion tool to determine Islamic great days. Data of this research was obtained from questionnaire. And all the questionnaire datum was used to design application. The technique of feasibility analysis application was obtained from a validation. It was using black-box method. The result showed that the application was made by three ways: First, making an appearance in GUI Matlab appropriate with interface design application. Second, entering the script in each menu of application. Third, entering JD formula in application that were already functioning. ©2016 JNSMR UIN Walisongo. All rights reserved.</div>

scholarly journals Perancangan Sistem Monitoring dan Evaluasi Bantuan Usaha Pertanian pada Kementerian Pertanian Ri

2013 ◽  
Vol 4 (2) ◽  
pp. 706
Author(s):  
Yohannes Kurniawan ◽  
Devyano Luhukay ◽  
Titan Titan
Keyword(s):  
Information System ◽  
Interface Design ◽  
Design Method ◽  
Current System ◽  
Monitoring And Evaluation ◽  
Internet Technology ◽  
Accurate Information ◽  
Analysis And Design ◽  
Optimal Information ◽  
Production Facilities

The main problems of current system in agriculture ministry is sub-optimal information retrieval of realization and development of agriculture capital and production facilities subvention. Therefore, this research aims to analyze and design information system for monitoring and evaluation of subvention of agriculture capital and production facilities. This information system is developed based on internet technology to help the main team (agriculture minister and technical team of directorate agriculture department), coach team of provincial agriculture office, and technical team of district/city agriculture office to access the accurate information related realization and development of agriculture business any where and any time. It is designed with OOAD (object oriented analysis and design) method by using UML notation (use case diagram, class diagram, component architecture and user interface design). This research produces a design of information system for subvention monitoring and evaluation of agriculture capital and production facilities for the ministry of agriculture RI.

EVALUASI DAN PERBAIKAN DESAIN USER INTERFACE UNTUK MENINGKATKAN USER EXPERIENCE PADA APLIKASI MOBILE SIARAN TANGSEL MENGGUNAKAN METODE GOAL DIRECT DESIGN (GDD)

2021 ◽  
Vol 13 (2) ◽  
pp. 157-170
Author(s):  
Diana Nur Yastin ◽  
Hendra Bayu Suseno ◽  
Viva Arifin
Keyword(s):  
User Interface ◽  
Success Rate ◽  
User Experience ◽  
Interface Design ◽  
Design Method ◽  
User Interface Design ◽  
Average Score ◽  
Calculation Technique ◽  
Direct Design ◽  
System Usability Scale

Mobile Siaran is an official reporting application intended for the people of the city of Tangerang Selatan (South Tangerang). However, after conducting interviews with stakeholders and respondents, there were several problems with the display of the mobile application. From the results of the interview, it indicates that there are still some applications that need improvement. To fix the problem with the Mobile Siaran application display, the solution given is to improve the user interface design using the Goal Direct Design method. In addition, it also uses the success rate calculation technique and the System Usability Scale (SUS) to measure the usability value. Meanwhile, the User Experience Questionnaire (UEQ) measures the value of user experience. The result of this research is a user interface design made in stages in the Goal Direct Design method, namely research, modeling, requirements, frameworks, and refinement. The final evaluation, the results of the improvement using calculations, the success rate has increased from 93.5% to 99.3%, SUS from an average score of 58.19 which can be said to be quite satisfactory with the letter D value to 81.83 which can be accepted with the value of the letter A, while UEQ shows all aspects that have improved with very good and good criteria which means that improvements to user interface design can solve problems that exist in the application and improve the user experience.

Modular and Systematic Interface Design for Rich Internet Applications

2010 ◽  
pp. 59-74 ◽  
Author(s):  
Gustavo Rossi ◽  
Matias Urbieta ◽  
Jeronimo Ginzburg
Keyword(s):  
User Interface ◽  
Interface Design ◽  
Web Applications ◽  
Design Method ◽  
Internet Applications ◽  
Rich Internet Applications ◽  
Interaction Styles ◽  
Hypermedia Design ◽  
High Level ◽  
Rich Interaction

In this chapter, we present a design approach for the interface of rich Internet applications, that is, those Web applications in which the conventional hypermedia paradigm has been improved with rich interaction styles. Our approach combines well-known techniques for advanced separation of concerns such as aspect-oriented software design, with the object oriented hypermedia design method (OOHDM) design model allowing to express in a high level way the structure and behaviours of the user interface as oblivious compositions of simpler interface atoms. Using simple illustrative examples we present the rationale of our approach, its core stages and the way it is integrated into the OOHDM. Some implementation issues are finally analyzed.

scholarly journals An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Jian Kui Feng ◽  
Jing Jin ◽  
Ian Daly ◽  
Jiale Zhou ◽  
Yugang Niu ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Classification Accuracy ◽  
Channel Selection ◽  
Selection Method ◽  
Selection Methods ◽  
Eeg Signals ◽  
Common Spatial Pattern ◽  
Linear Discriminant ◽  
Novel Method ◽  
Electroencephalogram Eeg

Background. Due to the redundant information contained in multichannel electroencephalogram (EEG) signals, the classification accuracy of brain-computer interface (BCI) systems may deteriorate to a large extent. Channel selection methods can help to remove task-independent electroencephalogram (EEG) signals and hence improve the performance of BCI systems. However, in different frequency bands, brain areas associated with motor imagery are not exactly the same, which will result in the inability of traditional channel selection methods to extract effective EEG features. New Method. To address the above problem, this paper proposes a novel method based on common spatial pattern- (CSP-) rank channel selection for multifrequency band EEG (CSP-R-MF). It combines the multiband signal decomposition filtering and the CSP-rank channel selection methods to select significant channels, and then linear discriminant analysis (LDA) was used to calculate the classification accuracy. Results. The results showed that our proposed CSP-R-MF method could significantly improve the average classification accuracy compared with the CSP-rank channel selection method.

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