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2013 International Winter Workshop on Brain-Computer Interface (BCI)最新文献

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P300 speller using a new stimulus presentation paradigm P300拼写使用新的刺激呈现范式
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506644
J. Eom, Hye-Ryeon Yang, Mi-Sook Park, J. Sohn
{"title":"P300 speller using a new stimulus presentation paradigm","authors":"J. Eom, Hye-Ryeon Yang, Mi-Sook Park, J. Sohn","doi":"10.1109/IWW-BCI.2013.6506644","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506644","url":null,"abstract":"In most implementation of a P300 BCI, RCP was used. However, RCP is susceptible to adjacency-distraction errors. This study presents a novel P300-based BCI stimulus presentation-the sub-block paradigm (SBP). This alternative paradigm substantially improved P300 speller performance by using adjacency-distraction effect. In this study, the SBP performance was compared to that of the standard RCP. Consequently, the SBP was more correct in P300 speller performance as well as more convenient for users than the RCP.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130830731","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}
引用次数: 5
Multimodal imaging technique for rapid response brain-computer interface feedback 脑机接口反馈快速反应多模态成像技术
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506642
Seul-Ki Yeom, S. Fazli, J. Mehnert, B. Blankertz, J. Steinbrink, K. Müller, Seong-Whan Lee
{"title":"Multimodal imaging technique for rapid response brain-computer interface feedback","authors":"Seul-Ki Yeom, S. Fazli, J. Mehnert, B. Blankertz, J. Steinbrink, K. Müller, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506642","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506642","url":null,"abstract":"Electroencephalogram (EEG) has been widely used for brain-computer interface (BCI) due to its high temporal resolution. Meanwhile, multimodal imaging techniques based on combined EEG and near infrared spectroscopy (NIRS) have been studied in BCI research and shown to lead to beneficiary results in terms of classification [1]. However, performance results of this study show that there is a difference of peak accuracy (about 5s) between NIRS and EEG caused by the high latency of the NIRS signal. Based on our experimental results and analysis, we show that even though there is high latency of NIRS signal in our proposed multimodal imaging technique, it can be reasonable system for real-time BCI.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128121275","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}
引用次数: 4
A novel P300-based BCI system for words typing 一种新颖的基于p300的脑机接口系统
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506617
Faraz Akram, M. Metwally, Hee-Sok Han, H. J. Jeon, Tae-Seong Kim
{"title":"A novel P300-based BCI system for words typing","authors":"Faraz Akram, M. Metwally, Hee-Sok Han, H. J. Jeon, Tae-Seong Kim","doi":"10.1109/IWW-BCI.2013.6506617","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506617","url":null,"abstract":"The conventional P300 BCI system for character spelling is typically composed of a paradigm that displays flashing characters and a classifier which identifies target characters. Typically a user has to type each character of a word at a time: this spelling process is slow and it can take several minutes to type an entire word. In this work, we propose a new word typing scheme by integrating a word suggestion mechanism via a dictionary search into the conventional P300-based speller. Our new P300-based word typing system consists of an initial character spelling paradigm, a smart dictionary unit to give suggestions of possible words, and the final word selection paradigm to select a word out of the suggestions. Our proposed methodology reduces typing time significantly and makes word typing more convenient. We have tested our system with four subjects and our results demonstrate an average words typing time of 1.66 minute, whereas the conventional took 2.9 minute for the same words.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123832351","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}
引用次数: 23
Progress toward a high-performance neural prosthetic 高性能神经假体的研究进展
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506612
A. Schwartz
{"title":"Progress toward a high-performance neural prosthetic","authors":"A. Schwartz","doi":"10.1109/IWW-BCI.2013.6506612","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506612","url":null,"abstract":"Recent demonstrations have shown conclusively that intracortical signals recorded from paralyzed subjects will provide the substrate to restore natural hand and arm function with high- performance prosthetic devices.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121278346","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}
引用次数: 1
Three-dimensional upper limb movement decoding from EEG signals 基于脑电图信号的三维上肢运动解码
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506648
Jeong-Hun Kim, Ricardo Chavarriaga, J. Millán, Seong-Whan Lee
{"title":"Three-dimensional upper limb movement decoding from EEG signals","authors":"Jeong-Hun Kim, Ricardo Chavarriaga, J. Millán, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506648","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506648","url":null,"abstract":"A brain-computer interface (BCI) can be used to control a limb neuroprosthesis in patients. In particular, decoding trajectory of upper limb with motor imagery (MI) can support motor rehabilitation using a wearable robotic arm. Recent research shows the possibility of decoding hand movement trajectory from electroencephalography (EEG) signals. However, such studies are insufficient to apply motor rehabilitation, which are only considered hand movement trajectory. Although disabilities patients take correct hand movement, sometimes wrong elbow movement can be taken in motor rehabilitation. In this study, we explore to decode velocity of both hand and elbow at the same time from EEG signals when subjects move upper limb. The result shows feasibility toward controlling robotic arm.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114434359","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}
引用次数: 9
Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques 神经阵列的空间投影:经典和新的信号分析技术的简短指南
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506610
L. Parra, Jacek P. Dmochovski, Joao Dias, A. Cheveigné
{"title":"Spatial projections of neural arrays: A short guide to classic and new signal analysis techniques","authors":"L. Parra, Jacek P. Dmochovski, Joao Dias, A. Cheveigné","doi":"10.1109/IWW-BCI.2013.6506610","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506610","url":null,"abstract":"Electroencephalography and other neural recording techniques collect simultaneous data with a multitude of channels. A variety of methods have been proposed to analyze such high-dimensional data and go by various 3-letter acronyms such as PCA, ICA, LDA, SVM, CSP, DSS, CCA, CSD. What all of these methods have in common is that they integrate information by averaging across space, and the different techniques only differ in the contribution of each channel to the average. This has the potential to substantially improve signal quality. The goal of this presentation is to give an overview of existing techniques focusing on those techniques that have an easy to understand objective criterion. It should thus provide a guide on how to pick the technique that best suits a given experimental goal. The review will start with the simplest and most straightforward idea, and finish with a few more recent and novel techniques that are not yet widely known.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133370628","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}
引用次数: 0
A Bayesian approach for spatio-spectral filter optimization in BCI 基于贝叶斯方法的脑机接口空间光谱滤波优化
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506616
Heung-Il Suk, Seong-Whan Lee
{"title":"A Bayesian approach for spatio-spectral filter optimization in BCI","authors":"Heung-Il Suk, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506616","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506616","url":null,"abstract":"In this paper, we propose a novel Bayesian frame-work for discriminative feature extraction for motor imagery classification in an EEG-based BCI, in which the class-discriminative frequency bands and the corresponding spatial filters are optimized by means of the probabilistic and information-theoretic approaches. In our framework, the problem of simultaneous spatio-spectral filter optimization is formulated as the estimation of an unknown posterior pdf that represents the probability that a single-trial EEG of predefined mental tasks can be discriminated in a state. We demonstrate the feasibility and effectiveness of the proposed method by analyzing the results and its success on two public databases.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123405034","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}
引用次数: 0
Bayesian common spatial patterns 贝叶斯共同空间模式
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506606
Hyohyeong Kang, Seungjin Choi
{"title":"Bayesian common spatial patterns","authors":"Hyohyeong Kang, Seungjin Choi","doi":"10.1109/IWW-BCI.2013.6506606","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506606","url":null,"abstract":"Common spatial patterns (CSP) or its probabilistic counterpart, probabilistic CSP (PCSP), is a popular discriminative feature extraction method for automatically classifying electroencephalography (EEG) brain waves. Models for CSP or PCSP are trained on a subject-by-subject basis, so inter-subject information, which might be available when brain waves are measured from multiple subjects who undergo the same mental task, is neglected. In this paper we present a brief overview of our recent work on how Bayesian multi-task learning is applied to multi-subject EEG classification, treating subjects as tasks to capture inter-subject relatedness in Bayesian treatment of PCSP.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124822378","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}
引用次数: 1
Eeg-based person authentication using face stimuli 基于面部刺激的人脸身份验证
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506630
Seul-Ki Yeom, Heung-Il Suk, Seong-Whan Lee
{"title":"Eeg-based person authentication using face stimuli","authors":"Seul-Ki Yeom, Heung-Il Suk, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506630","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506630","url":null,"abstract":"In this paper, we devise a novel stimulus presentation paradigm, using self-face and non-self-face images as stimuli for a person authentication system based on the studies in psychology and neurophysiology. Based on our experimental results and analysis, it is believed that the proposed person authentication system can be considered as a new biometric authentication system due to its universality, distinctiveness, permanence, collectability and uniqueness. 1","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114439221","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}
引用次数: 20
Eeg/sonication-based brain-brain interfacing 基于脑电图/超声的脑-脑接口
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506614
Byoung-Kyong Min
{"title":"Eeg/sonication-based brain-brain interfacing","authors":"Byoung-Kyong Min","doi":"10.1109/IWW-BCI.2013.6506614","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506614","url":null,"abstract":"EEG has been practically used to detect brain signals, which can control brain-computer interfaces (BCls) in a noninvasive way. Recently, low-intensity focused-ultrasound (LIFU) sonication has gained attention as a potent candidate for the noninvasive and spatially-accurate transcranial computer-brain interfacing (CBI). Based on the benefit of these two techniques, the convergence of both EEG-based BCI and sonication-based CBI approaches might eventually lead to the field of ‘brain-to-brain interface’ (BBI), in which two individual brains can communicate by sending signals through functionally minimized computers. Further exploration of this new conceptual technique will be needed to realize this technology and to apply it to a wide range of our mental communication.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126814126","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}
引用次数: 1
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