Brain-computer interface research : a state-of-the-art summary

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...

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Dettagli Bibliografici
Altri autori: Guger, Christoph (Direttore editoriale), Allison, Brendan Z. (Direttore editoriale), Edlinger, Günter (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Serie:SpringerBriefs in Electrical and Computer Engineering
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Brain-computer interface research, a state-of-the-art summary, Christoph Guger, Brendan Z. Allison, Günter Edlinger, ..., Heidelberg, Springer, 2013, 1 vol. (VI-123 p.), SpringerBriefs in electrical and computer engineering
• Brain-Computer Interface Research, Texte imprimé, 9783642360848
Sommario:
  • Exploring 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.