research-article

Brain-Computer Interfacing for Intelligent Systems

Authors:

Klaus-R. MüllerAuthors Info & Claims

IEEE Intelligent Systems, Volume 23, Issue 3

Pages 72 - 79

https://doi.org/10.1109/MIS.2008.41

Published: 01 May 2008 Publication History

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Abstract

Advances in cognitive neuroscience and brain-imaging technologies give us the unprecedented ability to interface directly with brain activity. These technologies let us monitor physical processes in the brain that correspond with certain forms of thought. Researchers have begun using these technologies to build brain-computer interfaces (BCIs)—communication systems that don't depend on the brain's normal output pathways of peripheral nerves and muscles. Four short articles provide a quick overview of the past, present, and future of BCIs.

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Shahlaei FBagh NZambare MReddy M(2023)Quantification of event related brain patterns for the motor imagery tasks using inter-trial variance techniqueEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106863126:PBOnline publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1016/j.engappai.2023.106863
Liu ZWang LXu SLu K(2023)A multiwavelet-based sparse time-varying autoregressive modeling for motor imagery EEG classificationComputers in Biology and Medicine10.1016/j.compbiomed.2022.106196155:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.compbiomed.2022.106196
Tzdaka EBenaroch CJeunet CLotte F(2020)Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users’ Performance2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283307(2490-2495)Online publication date: 11-Oct-2020
https://dl.acm.org/doi/10.1109/SMC42975.2020.9283307
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Brain-Computer Interfacing for Intelligent Systems

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Published In

IEEE Intelligent Systems Volume 23, Issue 3

May 2008

87 pages

ISSN:1541-1672

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IEEE Educational Activities Department

United States

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Published: 01 May 2008

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Shahlaei FBagh NZambare MReddy M(2023)Quantification of event related brain patterns for the motor imagery tasks using inter-trial variance techniqueEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106863126:PBOnline publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1016/j.engappai.2023.106863
Liu ZWang LXu SLu K(2023)A multiwavelet-based sparse time-varying autoregressive modeling for motor imagery EEG classificationComputers in Biology and Medicine10.1016/j.compbiomed.2022.106196155:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.compbiomed.2022.106196
Tzdaka EBenaroch CJeunet CLotte F(2020)Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users’ Performance2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283307(2490-2495)Online publication date: 11-Oct-2020
https://dl.acm.org/doi/10.1109/SMC42975.2020.9283307
Tezza DCaprio DPinto BMantilla IAndujar M(2020)An Analysis of Engagement Levels While Playing Brain-Controlled GamesHCI in Games10.1007/978-3-030-50164-8_26(361-372)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-50164-8_26
Jacucci GBarral ODaee PWenzel MSerim BRuotsalo TPluchino PFreeman JGamberini LKaski SBlankertz B(2019)Integrating neurophysiologic relevance feedback in intent modeling for information retrievalJournal of the Association for Information Science and Technology10.1002/asi.2416170:9(917-930)Online publication date: 2-Aug-2019
https://dl.acm.org/doi/10.1002/asi.24161
Kapur AKapur SMaes PBerkovsky SHijikata YRekimoto JBurnett MBillinghurst MQuigley A(2018)AlterEgoProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172977(43-53)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3172944.3172977
Andreu-Perez JCao FHagras HYang G(2018)A Self-Adaptive Online BrainźMachine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference SystemIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2016.263740326:1(101-116)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1109/TFUZZ.2016.2637403
(2017)Attempts towards the first brain-computer interface system in INAYA Medical CollegeInternational Journal of Computer Applications in Technology10.1504/IJCAT.2017.08285955:2(92-111)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJCAT.2017.082859
Barral OKosunen IJacucci G(2017)No Need to Laugh Out LoudACM Transactions on Computer-Human Interaction10.1145/315773024:6(1-29)Online publication date: 19-Dec-2017
https://dl.acm.org/doi/10.1145/3157730
Menezes MSamara AGalway LSant'anna AVerikas AAlonso-Fernandez FWang HBond R(2017)Towards emotion recognition for virtual environmentsPersonal and Ubiquitous Computing10.1007/s00779-017-1072-721:6(1003-1013)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s00779-017-1072-7
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Brain-Computer Interface using Directional Auditory Perception

Making Ontologies Talk: Knowledge Interoperability in the Semantic Web

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface

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