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

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EEG asymmetry and anxiety 脑电图不对称与焦虑
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506628
Hye-Ryeon Yang, Ji-Eun Park, Sangsup Choi, J. Sohn, Jong-Min Lee
{"title":"EEG asymmetry and anxiety","authors":"Hye-Ryeon Yang, Ji-Eun Park, Sangsup Choi, J. Sohn, Jong-Min Lee","doi":"10.1109/IWW-BCI.2013.6506628","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506628","url":null,"abstract":"This study examined a relationship between anxiety scale score and two types of EEG asymmetry: resting state and fear-induced state. 30 adults who have no psychiatric history were participated, and their EEGs were recorded while resting and watching emotion-inducing film clips respectively. The result was obtained that there is no significant difference in resting state EEG asymmetry between high and low anxiety, but there is a meaningful difference in fear-induced frontal EEG asymmetry between two anxiety levels. The group with high anxiety level shows greater EEG asymmetry. We discussed the way how this result could be applied to anxiety treatment.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"58 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":"131135739","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: 3
Emotion classification in movie clips based on 3D fuzzy GIST and EEG signal analysis 基于三维模糊GIST和脑电信号分析的电影片段情感分类
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506633
Mingu Kwon, Jun-Su Kang, Minho Lee
{"title":"Emotion classification in movie clips based on 3D fuzzy GIST and EEG signal analysis","authors":"Mingu Kwon, Jun-Su Kang, Minho Lee","doi":"10.1109/IWW-BCI.2013.6506633","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506633","url":null,"abstract":"In this paper, we propose an emotion classification model, which can differentiate human-like emotions by using visual and electroencephalography (EEG) dynamic features. To understand human emotions in a more natural situation, we use dynamic stimuli such as movies for the analysis. We incorporate the 3D fuzzy GIST to effectively describe both dynamic visual features and EEG signals. The extracted features are used as inputs to an adaptive neuro-fuzzy inference system (ANFIS). The classifier is provided with the mean opinion scores as the teaching signals. Experimental results show that the system using both low-level visual feature and semantic level EEG feature not only discriminates the positive emotional features from the negative ones but also can get the more stable result than the model using only visual or EEG information.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"96 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":"132912147","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: 16
Ethical and social issues behind brain-computer interface 脑机接口背后的伦理和社会问题
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506635
Kyeong-Yeon Lee, Dayk Jang
{"title":"Ethical and social issues behind brain-computer interface","authors":"Kyeong-Yeon Lee, Dayk Jang","doi":"10.1109/IWW-BCI.2013.6506635","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506635","url":null,"abstract":"In accordance with the rapid growing of the brain-computer interface (BCI) technologies, there have been great concerns on researches and their practical applications in terms of the ethical and social issues. In this paper, we first briefly introduce the state-of-the-art BCI technologies such as brain speller, brain-actuated wheelchair, person authentication, robot-arm control, and neuro-rehabilitation. We then discuss the ethical and social issues and ethical principles emphasizing the necessity of the users' engagement in those issues.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"47 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":"134473544","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: 6
“Eyes-closed” SSVEP-based BCI for binary communication of individuals with impaired oculomotor function 基于“闭眼”ssvep的脑机接口用于眼动功能受损个体的二元交流
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506637
Jeong-Hwan Lim, Han-Jeong Hwang, C. Im
{"title":"“Eyes-closed” SSVEP-based BCI for binary communication of individuals with impaired oculomotor function","authors":"Jeong-Hwan Lim, Han-Jeong Hwang, C. Im","doi":"10.1109/IWW-BCI.2013.6506637","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506637","url":null,"abstract":"In the present study, a new paradigm for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) was proposed, which can be used for disabled individuals with impaired oculomotor function. The proposed EEG-based BCI system allows users to express their binary intentions without a need to open their eyes. A pair of glasses with two LEDs flickering at different frequencies was used to present visual stimuli to participants with their eyes closed. Through offline experiments performed with 11 participants, we confirmed that human SSVEP could be modulated by visual selective attention to a specific light stimulus penetrating through the eyelids. After customizing the parameters of the proposed paradigm based on the offline analysis results, binary intentions of five participants were classified in real time. The average ITR of our online experiments reached 10.83 bits/min, demonstrating the feasibility of our BCI paradigm.","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":"132080367","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: 6
Evaluation of feature extraction methods for motor imagery-based bcis in terms of robustness to slight changes of electrode locations 基于运动图像的bcis特征提取方法对电极位置细微变化的鲁棒性评价
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506636
Han-Jeong Hwang, C. Im, Sun-Ae Park
{"title":"Evaluation of feature extraction methods for motor imagery-based bcis in terms of robustness to slight changes of electrode locations","authors":"Han-Jeong Hwang, C. Im, Sun-Ae Park","doi":"10.1109/IWW-BCI.2013.6506636","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506636","url":null,"abstract":"In this study, various feature extraction methods for motor-imagery-based BCI were evaluated in terms of robustness to slight changes in electrode locations. EEG signals were recorded from three reference electrodes (Fz, C3, and C4) and from six additional electrodes located close to the reference electrodes. The performance of four different feature extraction methods [power spectral density (PSD), phase locking value (PLV), a combination of PSD and PLV, and cross-correlation (CC)] were evaluated in terms of robustness to electrode location changes as well as regarding absolute classification accuracy. The quantitative evaluation results demonstrated that the use of either PSD- or CC-based features led to higher classification accuracy than the use of PLV-based features, whereas PSD-based features showed much higher sensitivity to changes in EEG electrode location than CC- or PLV-based features. There results suggest that CC can be a promising feature extraction method in motor-imagery-based BCI studies as it provides high classification accuracy along with being little affected by slight changes in the EEG electrode locations.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"164 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":"133631963","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
Dry electrode design and performance evaluation for EEG based BCI systems 基于脑电的脑机接口系统干电极设计及性能评价
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506627
Seungchan Lee, Younghak Shin, S. Woo, Kiseon Kim, Heung-no Lee
{"title":"Dry electrode design and performance evaluation for EEG based BCI systems","authors":"Seungchan Lee, Younghak Shin, S. Woo, Kiseon Kim, Heung-no Lee","doi":"10.1109/IWW-BCI.2013.6506627","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506627","url":null,"abstract":"For the design of electroencephalography (EEG) based BCI systems, crucial issues are to acquire high fidelity EEG signals and to provide convenient installation to users. Electrodes are the key components which measure EEG signals from user's scalp. In this paper, we introduce a design of dry electrodes for BCI systems. The proposed electrodes are equipped with six spring loaded probes. They are capable of acquiring EEG signals of good enough quality without usage of conductive gels. To verify the performance of proposed electrodes, we measure contact impedance and compare them with those of conventional wet electrodes and G.tec Sahara dry electrodes. From the results, the impedance of proposed electrodes is shown to be satisfied without conductive gels. In future research, we will improve the design of proposed electrodes by adding active circuits.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"119 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":"114744994","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
Optimal channel selection based on statistical analysis in high dimensional NIRS data 基于统计分析的高维近红外光谱数据最优信道选择
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506643
Min-Ho Lee, S. Fazli, Seong-Whan Lee
{"title":"Optimal channel selection based on statistical analysis in high dimensional NIRS data","authors":"Min-Ho Lee, S. Fazli, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506643","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506643","url":null,"abstract":"Near-infrared spectroscopy (NIRS) is an optical imaging method that has recently been investigated for non-invasive Brain Computer Interfaces (BCI). The performance of NIRS-based BCI can deteriorate when the number of channels becomes larger. Here we present three types of channel selection methods based on ranked channels, pre-defined channel configurations and statistical analysis for high dimensional NIRS data. The optimal combination of channels is selected by the highest classification accuracy rate based on Linear Discriminant Analysis (LDA). Experimental results show that the three considered types of channel selection methods achieve higher classification performance by removing the noisy and non-informative channels. Also the proposed statistical channel selection method can reduce the computation time significantly without any loss of classification accuracy.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"67 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":"129321960","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: 3
Japanese SRPBS for BMI research: Decoded neurofeedback as a causal tool in systems neuroscience 日本SRPBS用于BMI研究:解码神经反馈作为系统神经科学的因果工具
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506615
M. Kawato
{"title":"Japanese SRPBS for BMI research: Decoded neurofeedback as a causal tool in systems neuroscience","authors":"M. Kawato","doi":"10.1109/IWW-BCI.2013.6506615","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506615","url":null,"abstract":"Japanese MEXT started SRPBS (strategic research for promotion of brain sciences) in 2008. Field A was on BMI and I am the leader of this. I will describe achievement within this large group funding. Within ATR, we have developed next generation noninvasive decoding method as well as decoded neurofeedback method.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"11 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":"123638924","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
Design of a robotic wheelchair with a motor imagery based brain-computer interface 基于运动图像的脑机接口机器人轮椅的设计
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506625
Keun-Tae Kim, T. Carlson, Seong-Whan Lee
{"title":"Design of a robotic wheelchair with a motor imagery based brain-computer interface","authors":"Keun-Tae Kim, T. Carlson, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506625","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506625","url":null,"abstract":"This paper presents a prototype for an electro-encephalogram (EEG) based brain-actuated wheelchair system using motor imagery. To overcome some of the limitations of other previous works, such as gaze dependence and unnecessary stops, five commands (left, left-diagonal, right, right-diagonal, and forward) were decoded based on the motor imagery correlates in EEG signals. Also, the system was modularized into three components: BCI control, and network. On the basis of the conclusions, we can expect a robust brain-actuated wheelchair system, which can allow the user's intention to control the wheelchair in multi-directional movements, thereby increasing the user's authority compared with many of the alternative approaches.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"71 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":"115919593","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: 24
Divergence estimation for machine learning and signal processing 散度估计用于机器学习和信号处理
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506611
Masashi Sugiyama
{"title":"Divergence estimation for machine learning and signal processing","authors":"Masashi Sugiyama","doi":"10.1109/IWW-BCI.2013.6506611","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506611","url":null,"abstract":"Approximating a divergence between two probability distributions from their samples is a fundamental challenge in the statistics, information theory, and machine learning communities, because a divergence estimator can be used for various purposes such as two-sample homogeneity testing, change-point detection, and class-balance estimation. Furthermore, an approximator of a divergence between the joint distribution and the product of marginals can be used for independence testing, which has a wide range of applications including feature selection and extraction, clustering, object matching, independent component analysis, and causality learning. In this talk, we review recent advances in direct divergence approximation that follow the general inference principle advocated by Vladimir Vapnik-one should not solve a more general problem as an intermediate step. More specifically, direct divergence approximation avoids separately estimating two probability distributions when approximating a divergence. We cover direct approximators of the Kullback-Leibler (KL) divergence, the Pearson (PE) divergence, the relative PE (rPE) divergence, and the L2-distance. Despite the overwhelming popularity of the KL divergence, we argue that the latter approximators are more useful in practice due to their computational efficiency, high numerical stability, and superior robustness against outliers.","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":"115593140","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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