LEADER 03513nam 2200577Ia 450 001 9910437770503321 005 20250904205659.0 010 $a9783642360831 010 $a3642360831 024 7 $a10.1007/978-3-642-36083-1 035 $a(PPN)169139069 035 $a(OCoLC)837237616 035 $a(MiFhGG)GVRL6XHJ 035 $a(CKB)2550000001045651 035 $a(MiAaPQ)EBC1206102 035 $a(MiFhGG)9783642360831 035 $a(EXLCZ)992550000001045651 100 $a20130225d2013 uy 0 101 0 $aeng 135 $aurun#---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aBrain-computer-interface research $ea state-of-the-art summary /$fChristoph Guger, Brendan Z. Allison, Gunter Edlinger, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (vi, 123 pages) $cillustrations (chiefly color) 225 1 $aSpringerBriefs in electrical and computer engineering 300 $a"ISSN: 2191-8112." 300 $a"ISSN: 2191-8120 (electronic)." 311 08$a9783642360824 311 08$a3642360823 320 $aIncludes bibliographical references. 327 $aExploring the Cortical Dynamics of Learning by Leveraging BCI Paradigms -- An Auditory Output Brain-Computer Interface for Speech Communication -- User-Appropriate and Robust Control Strategies to Enhance Brain-Computer Interface Performance and Usability.- What's Your Next Move? Detecting Movement Intention for Stroke Rehabilitation -- A Review of Performance Variations  in SMR-based Brain Computer Interfaces (BCIs) -- Exploring the cortical dynamics of learning by leveraging BCI paradigms.-  Seven Degrees of Freedom Cortical Control of a Robotic Arm -- Utilizing High Gamma (HG) Band Power Changes as Control Signal for Non-invasive BCI -- User-Appropriate and Robust Control Strategies to Enhance Brain Computer Interface Performance and Usability -- What are the Neuro-physiological Causes of Performance Variations in Brain-Computer Interfacing? -- Using the Electrocorticographic Speech Network to Control a Brain-Computer Interface in Humans -- Towards Communication in the Completely Locked-in State: Neuroelectric Semantic Conditioning BCI -- An Affective BCI Using Multiple ERP Components Associated to Facial Emotion Processing. 330 $aBrain-computer interfaces (BCIs) are rapidly developing into a mainstream, worldwide research endeavor. With so many new groups and projects, it can be difficult to identify the best ones. This book summarizes ten leading projects from around the world. About 60 submissions were received in 2011 for the highly competitive BCI Research Award, and an international jury selected the top ten. This Brief gives a concise but carefully illustrated and fully up-to-date description of each of these projects, together with an introduction and concluding chapter by the editors. 410 0$aSpringerBriefs in electrical and computer engineering. 606 $aBrain-computer interfaces 606 $aHuman-computer interaction 615 0$aBrain-computer interfaces. 615 0$aHuman-computer interaction. 676 $a621.382 701 $aAllison$b Brendan Z$01586421 701 $aEdlinger$b Gunter$01756283 701 $aGuger$b Christoph$01586420 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437770503321 996 $aBrain-computer-interface research$94193487 997 $aUNINA