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Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Z. Allison,Günter Edlinger Book 2013 The Author(s) 2013 Aud

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發(fā)表于 2025-3-21 19:25:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Brain-Computer Interface Research
期刊簡(jiǎn)稱A State-of-the-Art S
影響因子2023Christoph Guger,Brendan Z. Allison,Günter Edlinger
視頻videohttp://file.papertrans.cn/191/190293/190293.mp4
發(fā)行地址Summarizes novel award-winning BCI projects.Introduction and summary complete the picture.Richly illustrated to aid understanding.Includes supplementary material:
學(xué)科分類SpringerBriefs in Electrical and Computer Engineering
圖書封面Titlebook: Brain-Computer Interface Research; A State-of-the-Art S Christoph Guger,Brendan Z. Allison,Günter Edlinger Book 2013 The Author(s) 2013 Aud
影響因子Brain-computer interfaces (BCIs) are rapidly developing into a mainstream, worldwide research endeavor. With so many new groups and projects, it can be difficult to identify the best ones. This book summarizes ten leading projects from around the world. About 60 submissions were received in 2011 for the highly competitive BCI Research Award, and an international jury selected the top ten. This Brief gives a concise but carefully illustrated and fully up-to-date description of each of these projects, together with an introduction and concluding chapter by the editors.
Pindex Book 2013
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書目名稱Brain-Computer Interface Research影響因子(影響力)




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An Affective BCI Using Multiple ERP Components Associated to Facial Emotion Processing,entro-parietal sites and N250 over the occipito-temporal sites. These findings indicate that a novel affective BCI paradigm can be developed based on detection of multiple ERP components reflecting human face encoding and emotion processing. The high classification performance for single-trial emoti
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Macht und Vertrauen in Innovationsprozessenentro-parietal sites and N250 over the occipito-temporal sites. These findings indicate that a novel affective BCI paradigm can be developed based on detection of multiple ERP components reflecting human face encoding and emotion processing. The high classification performance for single-trial emoti
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Macht und Widerst?ndigkeit durch Spracheamyotrophic lateral sclerosis (ALS) participated in the study and underwent 37 daily sessions. The online classification accuracies of the slow cortical potentials, identified as the electroencephalographic (EEG) signature differentiating between covert ‘yes’ and ‘no’ responses, were around chance l
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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/b/image/190293.jpg
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https://doi.org/10.1007/978-3-642-36083-1Auditory Output BCI; BCI Performance and Usability; BCI Research Award; BCI Signal Processing and Contr
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