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

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Decoding three-dimensional arm movements for brain-machine interface 解码三维手臂运动的脑机接口
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506624
H. Yeom, J. Kim, C. Chung
{"title":"Decoding three-dimensional arm movements for brain-machine interface","authors":"H. Yeom, J. Kim, C. Chung","doi":"10.1109/IWW-BCI.2013.6506624","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506624","url":null,"abstract":"Although estimation of 3-dimensional arm movements is crucial to control prosthetic devices using brain signals, there have been few non-invasive brain-machine interface (BMI) studies estimating arm movements. Here, we aimed to estimate 3-dimensional movements using magnetoencephalography (MEG) signals. For the movement decoding, we determined 68 MEG channels on motor-related area and 4 sub-frequency bands, 0.5–8, 9–22, 25–40 and 57–97Hz, based on event-related desynchronization (ERD) and synchronization (ERS). Our results demonstrate that non-invasive signals can estimate 3-dimensional movements with considerably high performance (mean r > 0.6). We also verified that low-frequency activity plays an important role in estimating a 3-dimensional movement trajectory. These results imply that disabled people will be able to control prosthetic devices without surgery in the near future.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"235 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":"122374464","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: 2
Implementation of a mental spelling system based on steady-state visual evoked potential (SSVEP) 基于稳态视觉诱发电位(SSVEP)的心理拼写系统的实现
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506638
Han-Jeong Hwang, Jeong-Hwan Lim, Jun-Hak Lee, C. Im
{"title":"Implementation of a mental spelling system based on steady-state visual evoked potential (SSVEP)","authors":"Han-Jeong Hwang, Jeong-Hwan Lim, Jun-Hak Lee, C. Im","doi":"10.1109/IWW-BCI.2013.6506638","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506638","url":null,"abstract":"In this study, we implemented a new mental spelling system based on steady-state visual evoked potential (SSVEP), adopting a QWERTY style layout keyboard with 30 LEDs flickering with different frequencies. During the offline experiments performed with five participants, we optimized various factors influencing the performance of the mental spelling system, such as distances between adjacent keys, light source arrangements, stimulating frequencies, recording electrodes, and visual angles. The online experiments were conducted with six participants to verify the feasibility of the optimized mental spelling system. The results of the online experiments were an average typing speed of 9.39 letters per minute (LPM) with an average success rate of 87.58 % corresponding to an average information transfer rate of 40.72 bits per minute, demonstrating the high performance of the developed mental spelling system. Indeed, the average typing speed of 9.39 LPM attained in this study was one of the best LPM results among those reported in previous BCI literatures. To further enhance the performance of our mental spelling system, we combined eye direction information (‘left’ or ‘right’) extracted from a web camera with the SSVEP responses. As a result of the online experiments performed with 10 participants, the hybrid speller could reduce 16.6 typing errors on average.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"20 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":"130351408","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: 12
Eeg-based emotion recogntion during emotionally evocative films 情感唤起电影中基于眼睛的情感识别
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506629
Mi-Sook Park, Hyeon-seok Oh, Hoyeon Jeong, J. Sohn
{"title":"Eeg-based emotion recogntion during emotionally evocative films","authors":"Mi-Sook Park, Hyeon-seok Oh, Hoyeon Jeong, J. Sohn","doi":"10.1109/IWW-BCI.2013.6506629","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506629","url":null,"abstract":"It is difficult to classify anger, fear, and surprise emotions with autonomic nervous system response patterns, because these three emotions show similar levels of valence and arousal dimensions. The purpose of this study was to classify three emotions by using EEG signals. Linear discriminant analysis (LDA) using three types of EEG characteristics showed that the mean recognition accuracy was 66.3%. These findings reveal that three emotions were successfully able to be classified based on EEG signals.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"15 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":"134123187","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: 18
Detection of multi-class emergency situations during simulated driving from ERP 基于ERP的模拟驾驶过程中多级紧急情况的检测
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506626
Il-Hwa Kim, Jeong-Woo Kim, S. Haufe, Seong-Whan Lee
{"title":"Detection of multi-class emergency situations during simulated driving from ERP","authors":"Il-Hwa Kim, Jeong-Woo Kim, S. Haufe, Seong-Whan Lee","doi":"10.1109/IWW-BCI.2013.6506626","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506626","url":null,"abstract":"We present a driving simulator study investigating whether a driver's braking intention in emergency situations can be detected under more general circumstances than previously described in the literature. Precisely, we here simulated three kinds of realistic emergency situations instead of only one as considered in Haufe et al., 2011. For each of the three situations, the analysis of electroencephalography (EEG) data reveals a different characteristic spatio-temporal event-related potential (ERP) sequence. For all stimuli, topographical maps of area under the curve (AUC) scores related to the discrimination between emergency and normal driving situations show a significant positive deflection in parietal regions about 300ms post-stimulus. Thus, it is possible to predict different emergency situations from EEG before the actual braking. A classification analysis indeed reveals that EEG-based emergency braking detection can be performance faster than electromyography- or pedal-based detection, while being as robust.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"116 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":"132408068","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: 11
The effectiveness of epidural ECoG on brain computer interface in primate 硬膜外ECoG对灵长类脑机接口的影响
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506647
Jeyeon Lee, Hosuk Choi, Taekyung Kim, Hojong Lee, I. Kim, D. Jang, Sunkyue Kim, Jeongeun Lee, Kyung-Ha Ahn, K. Lee
{"title":"The effectiveness of epidural ECoG on brain computer interface in primate","authors":"Jeyeon Lee, Hosuk Choi, Taekyung Kim, Hojong Lee, I. Kim, D. Jang, Sunkyue Kim, Jeongeun Lee, Kyung-Ha Ahn, K. Lee","doi":"10.1109/IWW-BCI.2013.6506647","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506647","url":null,"abstract":"Recently, several studies have reported use of epidural electrocorticography (eECoG) for brain computer interface (BCI). However the feasibility and performance of eECoG on BCI were not fully evaluated yet. In this study, we aimed to verify the usability of implanted eECoG on BCI in primate. Two micro electrode patches were inserted over duramater on rhesus monkey. The monkey performed four directional eye movement tasks responding to target's color change. As results, eECoG showed the different activation pattern between before and after the perception of the color change and target direction. This demonstrates the possibility of BCI using eECoG.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"362 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":"115943595","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: 2
Common spatial patterns based on generalized norms 基于广义规范的共同空间模式
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506623
Jangwoo Park, Wonzoo Chung
{"title":"Common spatial patterns based on generalized norms","authors":"Jangwoo Park, Wonzoo Chung","doi":"10.1109/IWW-BCI.2013.6506623","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506623","url":null,"abstract":"The Common Spatial Patterns (CSP) algorithm is commonly used to finds spatial filters for classification of electroencephalogram (EEG) signals. However, conventional CSP is sensitive to outliers and artifacts because it is based on variance using L2-norm. In this paper, we consider generalized Lp norm based CSP, called CSP-Lp, and verify whichp is optimal for CSP-Lp by maximizing the Lp norm ratio of filtered dispersion of one class to the other class. The spatial filters of CSP-Lp are obtained empirically. Simulation result on a toy example shows the robustness of CSP-Lp depending on Lp-norm.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"80 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":"116150540","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: 8
Decoding cognitive brain states 解码认知大脑状态
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506613
Anne Porbadnigk, M. Treder, S. Fazli, M. Tangermann, C. Vidaurre, S. Haufe, G. Curio, B. Blankertz, K. Müller
{"title":"Decoding cognitive brain states","authors":"Anne Porbadnigk, M. Treder, S. Fazli, M. Tangermann, C. Vidaurre, S. Haufe, G. Curio, B. Blankertz, K. Müller","doi":"10.1109/IWW-BCI.2013.6506613","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506613","url":null,"abstract":"The last years have seen a rise in interest in using BCI methodology for investigating non-medical questions beyond the purpose of communication and control. This abstract first provides a short introduction to BCI challenges from a machine learning perspective. The remaining sections present selected applications of BCI discussing in particular the use of EEG in combination with BCI methods for investigating how signal quality is processed on a sensory and cognitive level.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"152 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":"123317756","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
Tutorial on multimodal neuroimaging for brain-computer interfacing 脑机接口的多模态神经成像教程
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506605
S. Fazli, K. Müller, Seong-Whan Lee, B. Blankertz
{"title":"Tutorial on multimodal neuroimaging for brain-computer interfacing","authors":"S. Fazli, K. Müller, Seong-Whan Lee, B. Blankertz","doi":"10.1109/IWW-BCI.2013.6506605","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506605","url":null,"abstract":"Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"409 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":"122723425","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 novel tactile stimulation system for BCI feedback 一种新的BCI反馈触觉刺激系统
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506619
Kiuk Gwak, R. Leeb, J. Millán, Dae-Shik Kim
{"title":"A novel tactile stimulation system for BCI feedback","authors":"Kiuk Gwak, R. Leeb, J. Millán, Dae-Shik Kim","doi":"10.1109/IWW-BCI.2013.6506619","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506619","url":null,"abstract":"When BCI based devices are operated, users are often desired to interact with environment. However, conventional visual BCI feedback disturbs continuous and smooth interactions. Therefore, a new tactile stimulation system suitable for delivering BCI feedback to user is developed. The system employs tactile illusion of movement to produce a continuous movement within six coin motors. Two protocols that convert the BCI feedback into spatiotemporal patterns of the stimulator are tested online. The results show that there are no identified artifacts in the EEG signal and no degradation of classification accuracy.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"29 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":"125122667","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
Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors 基于稀疏、时间平滑源先验的移动实时脑电成像贝叶斯推理
2013 International Winter Workshop on Brain-Computer Interface (BCI) Pub Date : 2013-04-23 DOI: 10.1109/IWW-BCI.2013.6506608
L. K. Hansen, Sofie Therese Hansen, Carsten Stahlhut
{"title":"Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors","authors":"L. K. Hansen, Sofie Therese Hansen, Carsten Stahlhut","doi":"10.1109/IWW-BCI.2013.6506608","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2013.6506608","url":null,"abstract":"EEG based real-time imaging of human brain function has many potential applications including quality control, in-line experimental design, brain state decoding, and neuro-feedback. In mobile applications these possibilities are attractive as elements in systems for personal state monitoring and well-being, and in clinical settings were patients may need imaging under quasi-natural conditions. Challenges related to the ill-posed nature of the EEG imaging problem escalate in mobile real-time systems and new algorithms and the use of meta-data may be necessary to succeed. Based on recent work (Delorme et al., 2011) we hypothesize that solutions of interest are sparse. We propose a new Markovian prior for temporally sparse solutions and a direct search for sparse solutions as implemented by the so-called “variational garrote” (Kappen, 2011). We show that the new prior and inference scheme leads to improved solutions over competing sparse Bayesian schemes based on the “multiple measurement vectors” approach.","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":"130654765","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: 2
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