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• Information transfer rate in a five-classes brain-computer interface
  The information transfer rate, given in bits per trial, is used as an evaluation measurement in a brain-computer interface (BCI). Three subjects performed four motor-imagery (left hand, right hand, foot, and tongue) and one mental-calculation task. Classificat…
  openalex B. Obermaier, Christa Neuper, C. Guger, G. Pfurtscheller 2001-09-01 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceInterface (matter)Information transfer
• The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
  Brain-computer interfacing (BCI) is a steadily growing area of research. While initially BCI research was focused on applications for paralyzed patients, increasingly more alternative applications in healthy human subjects are proposed and investigated. In par…
  openalex Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre, Siamac Fazli 等 2010-01-01 置信度 0.72 Brain–computer interfaceLaypersonComputer scienceUsabilityInterfacing
• Brain–Computer Interfaces: A Gentle Introduction
  openalex Bernhard Graimann, Brendan Z. Allison, Gert Pfurtscheller 2009-01-01 置信度 0.72 PikeWheelchairCrewAeronauticsEngineering
• Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface
  Recent advances in electrodes for noninvasive recording of electroencephalograms expand opportunities collecting such data for diagnosis of neurological disorders and brain-computer interfaces. Existing technologies, however, cannot be used effectively in cont…
  openalex James J. S. Norton, Dong Sup Lee, Jungwoo Lee, Woosik Lee 等 2015-03-16 置信度 0.72 Interface (matter)AuricleElectrodeComputer scienceBiomedical engineering
• A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke
  Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of an EEG-bas…
  openalex Kai Keng Ang, Karen Sui Geok Chua, Kok Soon Phua, Chuanchu Wang 等 2014-04-21 置信度 0.72 Motor imageryBrain–computer interfacePhysical medicine and rehabilitationElectroencephalographyManus
• An auditory oddball (P300) spelling system for brain‐computer interfaces
  This study was designed to develop and test an auditory event-related potential (ERP) based spelling system for a brain-computer interface (BCI) and to compare user's performance between the auditory and visual modality. The spelling system, where letters in a…
  openalex Adrian Furdea, Sebastian Halder, Dean J. Krusienski, D. Bross 等 2009-01-26 置信度 0.72 SpellingPsychologyBrain–computer interfaceAudiologyEvent-related potential
• Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces
  There is a step of significant difficulty experienced by brain-computer interface (BCI) users when going from the calibration recording to the feedback application. This effect has been previously studied and a supervised adaptation solution has been proposed.…
  openalex Carmen Vidaurre, Motoaki Kawanabe, Paul von Bünau, Benjamin Blankertz 等 2010-11-23 置信度 0.72 Brain–computer interfaceLinear discriminant analysisComputer scienceElectroencephalographyClassifier (UML)
• EEG feature extraction based on wavelet packet decomposition for brain computer interface
  openalex Wu Ting, Guozheng Yan, Banghua Yang, Hong Sun 2007-08-09 置信度 0.72 Wavelet packet decompositionPattern recognition (psychology)Feature extractionBrain–computer interfaceComputer science
• Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment
  This paper presents the application of an effective EEG-based brain-computer interface design for binary control in a visually elaborate immersive 3D game. The BCI uses the steady-state visual evoked potential (SSVEP) generated in response to phase-reversing c…
  openalex Edmund C. Lalor, Simon P Kelly, Ciarán Finucane, Robert D. Burke 等 2005-11-17 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)ElectroencephalographyFeature extraction
• Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring
  openalex Klaus‐Robert Müller, Michael Tangermann, Guido Dornhege, Matthias Krauledat 等 2007-10-02 置信度 0.72 Brain–computer interfaceInterfacingComputer sciencePreprocessorElectroencephalography
• Brain–computer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients?
  openalex Andrea Kübler, Niels Birbaumer 2008-09-28 置信度 0.72 Brain–computer interfaceAmyotrophic lateral sclerosisPsychologyMultiple sclerosisElectroencephalography
• On the suitability of near-infrared (NIR) systems for next-generation brain–computer interfaces
  A brain-computer interface (BCI) gives those suffering from neuromuscular impairments a means to interact and communicate with their surrounding environment. A BCI translates physiological signals, typically electrical, detected from the brain to control an ou…
  openalex Shirley Coyle, Tomás Ward, Charles H. Markham, G. McDarby 2004-07-23 置信度 0.72 Near-infrared spectroscopyComputer scienceBrain–computer interfaceRemote sensingNeuroscience
• Brain-Computer Interface in Stroke Rehabilitation
  Recent advances in computer science enabled people with severe motor disabilities to use brain-computer interfaces (BCI) for communication, control, and even to restore their motor disabilities. This paper reviews the most recent works of BCI in stroke rehabil…
  openalex Kai Keng Ang, Cuntai Guan 2013-06-30 置信度 0.72 Brain–computer interfaceRehabilitationPhysical medicine and rehabilitationStroke (engine)Computer science
• Guest editorial brain-computer interface technology: a review of the second international meeting
  This paper summarizes the Brain-Computer Interfaces for Communication and Control, The Second International Meeting, held in Rensselaerville, NY, in June 2002. Sponsored by the National Institutes of Health and organized by the Wadsworth Center of the New York…
  openalex Theresa M. Vaughan 2003-06-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionIdentification (biology)
• Rapid prototyping of an EEG-based brain-computer interface (BCI)
  The electroencephalogram (EEG) is modified by motor imagery and can be used by patients with severe motor impairments (e.g., late stage of amyotrophic lateral sclerosis) to communicate with their environment. Such a direct connection between the brain and the …
  openalex Christoph Guger, Alois Schlögl, Christa Neuper, D. Walterspacher 等 2001-03-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyLinear discriminant analysisAutoregressive model
• Towards Zero Training for Brain-Computer Interfacing
  Electroencephalogram (EEG) signals are highly subject-specific and vary considerably even between recording sessions of the same user within the same experimental paradigm. This challenges a stable operation of Brain-Computer Interface (BCI) systems. The class…
  openalex Matthias Krauledat, Michael Tangermann, Benjamin Blankertz, K. Müller 2008-08-12 置信度 0.72 InterfacingTraining (meteorology)Zero (linguistics)Computer sciencePsychology
• Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
  For a brain-computer interface (BCI) system, a calibration procedure is required for each individual user before he/she can use the BCI. This procedure requires approximately 20-30 min to collect enough data to build a reliable decoder. It is, therefore, an in…
  openalex Oyeon Kwon, Min-Ho Lee, Cuntai Guan, Seong–Whan Lee 2019-11-13 置信度 0.72 Discriminative modelComputer scienceBrain–computer interfacePattern recognition (psychology)Artificial intelligence
• Brain-Computer Interfacing: An Introduction
  The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoring and potentially augmenting human physical and mental capabilities. Med…
  openalex Rajesh P. N. Rao 2019-06-13 置信度 0.72 Brain–computer interfaceInterfacingComputer scienceInterface (matter)Human–computer interaction
• Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI)
  Electroencephalogram (EEG) recordings during right and left motor imagery allow one to establish a new communication channel for, e.g., patients with amyotrophic lateral sclerosis. Such an EEG-based brain-computer interface (BCI) can be used to develop a simpl…
  openalex Christoph Guger, Herbert Ramoser, G. Pfurtscheller 2000-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyMotor imageryInterface (matter)Computer science
• Principles of a Brain-Computer Interface (BCI) Based on Real-Time Functional Magnetic Resonance Imaging (fMRI)
  A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic…
  openalex Nikolaus Weiskopf, Klaus Mathiak, Simon Bock, Frank Scharnowski 等 2004-05-25 置信度 0.72 Brain–computer interfaceFunctional magnetic resonance imagingNeurofeedbackInterface (matter)Brain activity and meditation
• Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms
  Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to investigate how the brain can use these systems to control external devices. We review the principles and approaches we have taken to develop a sensorimotor rhythm EEG base…
  openalex Bin He, Bryan Baxter, Bradley J. Edelman, Christopher C. Cline 等 2015-05-20 置信度 0.72 Brain–computer interfaceSensorimotor rhythmElectroencephalographyComputer scienceNeurofeedback
• Performance variation in motor imagery brain–computer interface: A brief review
  openalex Minkyu Ahn, Sung Chan Jun 2015-02-08 置信度 0.72 Brain–computer interfaceVariation (astronomy)Motor imageryComputer scienceReliability (semiconductor)
• Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
  A brain–computer interface (BCI) enables a user to communicate with a computer directly using brain signals. The most common noninvasive BCI modality, electroencephalogram (EEG), is sensitive to noise/artifact and suffers between-subject/within-subject nonstat…
  openalex Dongrui Wu, Yifan Xu, Bao‐Liang Lu 2020-07-07 置信度 0.72 Computer scienceElectroencephalographyBrain–computer interfaceHuman–computer interactionTransfer of learning
• A Practical Guide to Brain–Computer Interfacing with BCI2000
  openalex Gerwin Schalk, Jürgen Mellinger 2010-01-01 置信度 0.72 InterfacingBrain–computer interfaceComputer scienceHuman–computer interactionVariety (cybernetics)
• Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces
  Dry and noncontact electroencephalographic (EEG) electrodes, which do not require gel or even direct scalp coupling, have been considered as an enabler of practical, real-world, brain-computer interface (BCI) platforms. This study compares wet electrodes to dr…
  openalex Yu Mike, Yu-Te Wang, Yijun Wang, Christoph Maier 等 2011-12-13 置信度 0.72 ElectrodeBrain–computer interfaceElectroencephalographySIGNAL (programming language)Capacitive sensing
• Motor imagery and action observation: Modulation of sensorimotor brain rhythms during mental control of a brain–computer interface
  openalex Christa Neuper, Reinhold Scherer, Selina C. Wriessnegger, Gert Pfurtscheller 2009-01-04 置信度 0.72 Brain–computer interfaceMotor imagerySensorimotor rhythmElectroencephalographyVisual feedback
• Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems
  openalex Evonne T Curran, E Curran 2003-04-01 置信度 0.72 Brain–computer interfaceElectroencephalographyPsychologyMotor imageryCognition
• A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance
  openalex Eric W. Sellers, Dean J. Krusienski, Dennis J. McFarland, Theresa M. Vaughan 等 2006-07-25 置信度 0.72 Brain–computer interfaceEvent-related potentialStimulus (psychology)NeuroscienceComputer science
• A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
  Affective states, moods and emotions, are an integral part of human nature: they shape our thoughts, govern the behavior of the individual, and influence our interpersonal relationships. The last decades have seen a growing interest in the automatic detection …
  openalex Christian Mühl, Brendan Z. Allison, Anton Nijholt, Guillaume Chanel 2014-04-03 置信度 0.72 Affect (linguistics)Affective computingBrain–computer interfaceNeurophysiologyComputer science
• Sparse Bayesian Classification of EEG for Brain–Computer Interface
  Regularization has been one of the most popular approaches to prevent overfitting in electroencephalogram (EEG) classification of brain-computer interfaces (BCIs). The effectiveness of regularization is often highly dependent on the selection of regularization…
  openalex Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao 等 2015-09-23 置信度 0.72 OverfittingBrain–computer interfaceComputer scienceArtificial intelligenceRegularization (linguistics)
• Time Domain Parameters as a feature for EEG-based Brain–Computer Interfaces
  openalex Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, Alois Schlögl 2009-07-23 置信度 0.72 LogarithmComputer scienceFeature (linguistics)Brain–computer interfaceFrequency domain
• Brain—Computer Interface
  openalex Anirudh Vallabhaneni, Tao Wang, Bin He 2007-12-31 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceHuman–computer interactionField (mathematics)
• An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user
  Brain-computer interfaces (BCIs) can serve as muscle independent communication aids. Persons, who are unable to control their eye muscles (e.g., in the completely locked-in state) or have severe visual impairments for other reasons, need BCI systems that do no…
  openalex Nadine Simon, Ivo Käthner, Carolin A. Ruf, Emanuele Pasqualotto 等 2015-01-09 置信度 0.72 Brain–computer interfaceSpellingSession (web analytics)AudiologyModality (human–computer interaction)
• Functional network reorganization during learning in a brain-computer interface paradigm
  Efforts to study the neural correlates of learning are hampered by the size of the network in which learning occurs. To understand the importance of learning-related changes in a network of neurons, it is necessary to understand how the network acts as a whole…
  openalex Beata Jarosiewicz, Steven M. Chase, George W. Fraser, Meel Velliste 等 2008-12-01 置信度 0.72 NeuroscienceCursor (databases)Computer sciencePopulationArtificial neural network
• Summary of over Fifty Years with Brain-Computer Interfaces—A Review
  Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing nu…
  openalex Aleksandra Kawala‐Sterniuk, Natalia Browarska, Amir F. Al‐Bakri, Mariusz Pelc 等 2021-01-03 置信度 0.72 Domain (mathematical analysis)Point (geometry)Quality (philosophy)Data scienceControl (management)
• Brain–Computer Interface Technologies in the Coming Decades
  As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage those …
  openalex Brent J. Lance, Scott E. Kerick, Anthony J. Ries, Kelvin S. Oie 等 2012-03-02 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceHuman–computer interactionCognitive science
• Volitional control of neural activity: implications for brain–computer interfaces
  Successful operation of brain-computer interfaces (BCI) and brain-machine interfaces (BMI) depends significantly on the degree to which neural activity can be volitionally controlled. This paper reviews evidence for such volitional control in a variety of neur…
  openalex Eberhard E. Fetz 2007-01-19 置信度 0.72 Brain–computer interfaceNeural activityBrain activity and meditationNeurofeedbackNeural correlates of consciousness
• Brain-Computer Interface in Stroke: A Review of Progress
  Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there are a number of reports involving stroke patients in BCI-feedback training. Most publications have demonstrated the efficacy of BCI technology in post-stroke reha…
  openalex Stefano Silvoni, Ander Ramos‐Murguialday, Marianna Cavinato, Chiara Volpato 等 2011-10-01 置信度 0.72 Brain–computer interfaceRehabilitationPhysical medicine and rehabilitationStroke (engine)Context (archaeology)
• P300-based brain computer interface: Reliability and performance in healthy and paralysed participants
  openalex Francesco Piccione, Flavio Giorgi, Paolo Tonin, Konstantinos Priftis 等 2006-02-04 置信度 0.72 Brain–computer interfaceComputer scienceCursor (databases)Interface (matter)Stimulus (psychology)
• Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface
  Brain-computer interfaces (BCIs) promise to restore independence for people with severe motor disabilities by translating decoded neural activity directly into the control of a computer. However, recorded neural signals are not stationary (that is, can change …
  openalex Beata Jarosiewicz, Anish A. Sarma, Daniel Bacher, Nicolas Y. Masse 等 2015-11-11 置信度 0.72 Brain–computer interfaceComputer scienceTetraplegiaInterface (matter)Neural decoding
• Sub-band Common Spatial Pattern (SBCSP) for Brain-Computer Interface
  Brain-computer interface (BCI) is a system to translate humans thoughts into commands. For electroencephalography (EEG) based BCI, motor imagery is considered as one of the most effective ways. Different imagery activities can be classified based on the change…
  openalex Novi Quadrianto, Cuntai Guan, Tran Huy Dat, Ping Xue 2007-05-01 置信度 0.72 Computer scienceInterface (matter)Brain–computer interfaceHuman–computer interactionNeuroscience
• Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface
  A brain-computer interface(BCI) based on motor imagery (MI) translates the subject's motor intention into a control signal through classifying the electroencephalogram (EEG) patterns of different imagination tasks, e.g. hand and foot movements. Characteristic …
  openalex Yijun Wang, Shangkai Gao, Xiaorong Gao 2005-01-01 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceLinear discriminant analysisElectroencephalography
• (C)overt attention and visual speller design in an ERP-based brain-computer interface
  BACKGROUND: In a visual oddball paradigm, attention to an event usually modulates the event-related potential (ERP). An ERP-based brain-computer interface (BCI) exploits this neural mechanism for communication. Hitherto, it was unclear to what extent the accur…
  openalex Matthias S. Treder, Benjamin Blankertz 2010-01-01 置信度 0.72 Brain–computer interfaceEvent-related potentialFixation (population genetics)CovertElectroencephalography
• Brain–computer interface using fMRI: spatial navigation by thoughts
  A brain-computer interface (BCI) is a way of conveying an individual's thoughts to control computer or electromechanical hardware. Capitalizing on the ability to characterize brain activity in a reproducible manner, we explored the possibility of using real-ti…
  openalex Seung‐Schik Yoo, Ty Fairneny, Nan‐kuei Chen, Seh-Eun Choo 等 2004-07-01 置信度 0.72 Brain–computer interfaceCovertInterface (matter)Computer scienceBrain activity and meditation
• Electrocorticography-based brain computer Interface-the seattle experience
  Electrocorticography (ECoG) has been demonstrated to be an effective modality as a platform for brain-computer interfaces (BCIs). Through our experience with ten subjects, we further demonstrate evidence to support the power and flexibility of this signal for …
  openalex Eric C. Leuthardt, Kai J. Miller, Gerwin Schalk, Rajesh P. N. Rao 等 2006-06-01 置信度 0.72 Brain–computer interfaceElectrocorticographyComputer scienceCursor (databases)Flexibility (engineering)
• The Berlin brain-computer interface: EEG-based communication without subject training
  The Berlin Brain-Computer Interface (BBCI) project develops a noninvasive BCI system whose key features are 1) the use of well-established motor competences as control paradigms, 2) high-dimensional features from 128-channel electroencephalogram (EEG), and 3) …
  openalex Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, K. Müller 等 2006-06-01 置信度 0.72 Brain–computer interfaceElectroencephalographyInterface (matter)LateralityComputer science
• Ethical aspects of brain computer interfaces: a scoping review
  BACKGROUND: Brain-Computer Interface (BCI) is a set of technologies that are of increasing interest to researchers. BCI has been proposed as assistive technology for individuals who are non-communicative or paralyzed, such as those with amyotrophic lateral scl…
  openalex Sasha Burwell, Matthew Sample, Éric Racine 2017-11-09 置信度 0.72 NeuroethicsBrain–computer interfaceCINAHLResearch ethicsPhilosophy of medicine
• A Review of Hybrid Brain-Computer Interface Systems
  Increasing number of research activities and different types of studies in brain-computer interface (BCI) systems show potential in this young research area. Research teams have studied features of different data acquisition techniques, brain activity patterns…
  openalex Setare Amiri, Reza Fazel-Rezai, Vahid Asadpour 2013-01-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Information transferReliability (semiconductor)
• On the need for on-line learning in brain-computer interfaces
  We motivate the need for on-line learning in brain-computer interfaces (BCI) and illustrate its benefits with the simplest method, namely fixed learning rates. However, the use of this method is supported by the risk of hampering the user to acquire suitable c…
  openalex José del R. Millán 2005-02-28 置信度 0.72 Brain–computer interfaceComputer scienceClassifier (UML)Session (web analytics)Machine learning
• EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey
  Brain–computer interface (BCI) technology has been studied with the fundamental goal of helping disabled people communicate with the outside world using brain signals. In particular, a large body of research has been reported in the electroencephalography (EEG…
  openalex Han-Jeong Hwang, Soyoun Kim, Soobeom Choi, Chang‐Hwan Im 2013-04-29 置信度 0.72 Brain–computer interfaceElectroencephalographyChristian ministryComputer scienceInterface (matter)
• Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?
  One of the main issues in designing a brain-computer interface (BCI) is to find brain patterns, which could easily be detected. One of these pattern is the steady-state evoked potential (SSEP). SSEPs induced through the visual sense have already been used for …
  openalex Gernot Müller-Putz, Reinhold Scherer, Christa Neuper, G. Pfurtscheller 2006-03-01 置信度 0.72 Brain–computer interfaceSomatosensory evoked potentialSomatosensory systemSet (abstract data type)Brain activity and meditation
• Review of Machine Learning Techniques for EEG Based Brain Computer Interface
  openalex Swati Aggarwal, Nupur Chugh 2022-01-06 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceMotor imageryInterface (matter)
• Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
  Abstract Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued advancement of portable non-invasive human sensor technologies, like brain–computer interfaces (BCI), emo…
  openalex Essam H. Houssein, Asmaa Hammad, Abdelmgeid A. Ali 2022-05-07 置信度 0.72 Computer scienceElectroencephalographyArtificial intelligenceSupport vector machineBrain–computer interface
• Conversion of EEG activity into cursor movement by a brain-computer interface (BCI)
  The Wadsworth electroencephalogram (EEG)-based brain-computer interface (BCI) uses amplitude in mu or beta frequency bands over sensorimotor cortex to control cursor movement. Trained users can move the cursor in one or two dimensions. The primary goal of this…
  openalex G. Fabiani, Dennis J. McFarland, Jonathan R. Wolpaw, G. Pfurtscheller 2004-09-01 置信度 0.72 Cursor (databases)Brain–computer interfaceElectroencephalographyComputer scienceMotor imagery
• The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects
  The Berlin Brain--Computer Interface (BBCI) project develops a noninvasive BCI system whose key features are: 1) the use of well-established motor competences as control paradigms; 2) high-dimensional features from multichannel EEG; and 3) advanced machine-lea…
  openalex Benjamin Blankertz, Florian Losch, Matthias Krauledat, Guido Dornhege 等 2008-10-01 置信度 0.72 Brain–computer interfaceSession (web analytics)Motor imageryInterface (matter)Computer science
• A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection
  A real-time wireless electroencephalogram (EEG)-based brain-computer interface (BCI) system for drowsiness detection has been proposed. Drowsy driving has been implicated as a causal factor in many accidents. Therefore, real-time drowsiness monitoring can prev…
  openalex Chin‐Teng Lin, Che‐Jui Chang, Bor‐Shyh Lin, Shao-Hang Hung 等 2010-05-10 置信度 0.72 Brain–computer interfaceInterface (matter)Computer scienceWirelessSIGNAL (programming language)
• A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces
  Event-related desynchronization/synchronization patterns during right/left motor imagery (MI) are effective features for an electroencephalogram-based brain-computer interface (BCI). As MI tasks are subject-specific, selection of subject-specific discriminativ…
  openalex Kavitha P. Thomas, Cuntai Guan, Chiew Tong Lau, A. P. Vinod 等 2009-07-15 置信度 0.72 Brain–computer interfaceDiscriminative modelMotor imageryComputer scienceArtificial intelligence
• Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
  Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the neurophysiological processes underpinning the SMR often vary over time and across subjects. Inherent …
  openalex Simanto Saha, Mathias Baumert 2020-01-21 置信度 0.72 Brain–computer interfaceElectroencephalographySession (web analytics)NeurophysiologyComputer science
• Turning Shortcomings into Challenges: Brain-Computer Interfaces for Games
  openalex Anton Nijholt, Boris Reuderink, Danny Oude Bos 2009-01-01 置信度 0.72 Brain–computer interfaceNeurofeedbackInterfacingComputer scienceModalities
• Brain–Computer Interfaces
  openalex Bin He, Han Yuan, Jianjun Meng, Shangkai Gao 2020-01-01 置信度 0.72 Brain–computer interfaceInterfacingComputer scienceInterface (matter)Human–computer interaction
• Rehabilitation with Brain-Computer Interface Systems
  BCI systems let users convert thoughts into actions that do not involve voluntary muscle movement. The systems offer a new means of communication for those with paralysis or severe neuromuscular disorders.
  openalex G. Pfurtscheller, Gernot Müller-Putz, Reinhold Scherer, Christa Neuper 等 2008-10-01 置信度 0.72 Brain–computer interfaceComputer scienceRehabilitationInterface (matter)Human–computer interaction
• fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
  Brain-computer interfaces based on functional magnetic resonance imaging (fMRI-BCI) allow volitional control of anatomically specific regions of the brain. Technological advancement in higher field MRI scanners, fast data acquisition sequences, preprocessing a…
  openalex Ranganatha Sitaram, Andrea Carìa, Ralf Veit, T. J. Gaber 等 2007-01-01 置信度 0.72 Brain–computer interfaceFunctional magnetic resonance imagingNeuroscienceBrain activity and meditationPsychology
• Brain-Computer Interfacing and Games
  openalex Danny Plass-Oude Bos, Boris Reuderink, Bram van de Laar, Hayrettin Gürkök 等 2010-01-01 置信度 0.72 InterfacingBrain–computer interfaceHuman–computer interactionComputer scienceUsability
• A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller
  The aim of this study was to design a dynamically optimized steady-state visually evoked potential (SSVEP) brain-computer interface (BCI) system with enhanced performance relative to previous SSVEP BCIs in terms of the number of items selectable on the interfa…
  openalex Erwei Yin, Zongtan Zhou, Jun Jiang, Yang Yu 等 2014-04-29 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Speech recognitionElectroencephalography
• Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
  In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) patients is investigated. Brain tasks, channel selection methods, and feature extra…
  openalex Keum‐Shik Hong, Muhammad Jawad Khan, Melissa Jiyoun Hong 2018-06-28 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceLinear discriminant analysisSupport vector machine
• Towards an independent brain–computer interface using steady state visual evoked potentials
  openalex Brendan Z. Allison, Dennis J. McFarland, Gerwin Schalk, Shi Dong Zheng 等 2008-02-01 置信度 0.72 Brain–computer interfaceGazeInterface (matter)Task (project management)Computer science
• A Hybrid Brain Computer Interface to Control the Direction and Speed of a Simulated or Real Wheelchair
  Brain-computer interfaces (BCIs) are used to translate brain activity signals into control signals for external devices. Currently, it is difficult for BCI systems to provide the multiple independent control signals necessary for the multi-degree continuous co…
  openalex Jinyi Long, Yuanqing Li, Hongtao Wang, Tianyou Yu 等 2012-06-06 置信度 0.72 WheelchairBrain–computer interfaceMotor imageryInterface (matter)Computer science
• Beamforming in Noninvasive Brain–Computer Interfaces
  Spatial filtering (SF) constitutes an integral part of building EEG-based brain-computer interfaces (BCIs). Algorithms frequently used for SF, such as common spatial patterns (CSPs) and independent component analysis, require labeled training data for identify…
  openalex Moritz Grosse‐Wentrup, Christian Liefhold, Klaus Gramann, Martin Buss 2008-12-08 置信度 0.72 OverfittingBeamformingComputer scienceArtifact (error)Spatial filter
• Hemodynamics for Brain-Computer Interfaces
  This article brings together the various elements that constitute the signal processing challenges presented by a hemodynamics-driven functional near-infrared spectroscopy (fNIRS) based brain-computer interface (BCI). We discuss the use of optically derived me…
  openalex Fiachra Matthews, Barak A. Pearlmutter, Tomás Ward, Christopher Soraghan 等 2008-01-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)SIGNAL (programming language)Signal processing
• Stationary common spatial patterns for brain–computer interfacing
  Classifying motion intentions in brain-computer interfacing (BCI) is a demanding task as the recorded EEG signal is not only noisy and has limited spatial resolution but it is also intrinsically non-stationary. The non-stationarities in the signal may come fro…
  openalex Wojciech Samek, Carmen Vidaurre, Klaus‐Robert Müller, Motoaki Kawanabe 2012-02-20 置信度 0.72 InterfacingComputer scienceBrain–computer interfaceArtificial intelligencePattern recognition (psychology)
• Toward a hybrid brain–computer interface based on imagined movement and visual attention
  Brain-computer interface (BCI) systems do not work for all users. This article introduces a novel combination of tasks that could inspire BCI systems that are more accurate than conventional BCIs, especially for users who cannot attain accuracy adequate for ef…
  openalex Brendan Z. Allison, C. Brunner, V. Kaiser, Gernot Müller-Putz 等 2010-03-23 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyInterface (matter)Task (project management)
• Non-invasive brain–computer interface system: Towards its application as assistive technology
  openalex Febo Cincotti, Donatella Mattia, Fabio Aloise, Simona Bufalari 等 2008-03-03 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionElectroencephalography
• Signal processing techniques for motor imagery brain computer interface: A review
  Motor Imagery Brain Computer Interface (MI-BCI) provides a non-muscular channel for communication to those who are suffering from neuronal disorders. The designing of an accurate and reliable MI-BCI system requires the extraction of informative and discriminat…
  openalex Swati Aggarwal, Nupur Chugh 2019-01-01 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceInterface (matter)Discriminative model
• Hemodynamic brain–computer interfaces for communication and rehabilitation
  openalex Ranganatha Sitaram, Andrea Carìa, Niels Birbaumer 2009-05-25 置信度 0.72 Functional magnetic resonance imagingBrain–computer interfaceBrain activity and meditationComputer scienceHaemodynamic response
• Turning shortcomings into challenges: Brain–computer interfaces for games
  openalex Anton Nijholt, Danny Plass-Oude Bos, Boris Reuderink 2009-04-01 置信度 0.72 Brain–computer interfaceInterfacingComputer scienceHuman–computer interactionNeurofeedback
• Brain-Computer Interface Operation of Robotic and Prosthetic Devices
  Brain-computer interfaces (BCIs) use signals recorded from the brain to operate robotic or prosthetic devices. Both invasive and noninvasive approaches have proven effective. Achieving the speed, accuracy, and reliability necessary for real-world applications …
  openalex Dennis J. McFarland, Jonathan R. Wolpaw 2008-10-01 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Reliability (semiconductor)Robot
• Brain–computer-interface research: Coming of age
  openalex Niels Birbaumer 2006-02-04 置信度 0.72 Motor imageryFunctional magnetic resonance imagingBrain–computer interfaceElectroencephalographyComputer science
• Transferring Subspaces Between Subjects in Brain--Computer Interfacing
  Compensating changes between a subjects' training and testing session in brain-computer interfacing (BCI) is challenging but of great importance for a robust BCI operation. We show that such changes are very similar between subjects, and thus can be reliably e…
  openalex Wojciech Samek, Frank C. Meinecke, Klaus‐Robert Müller 2013-03-20 置信度 0.72 Brain–computer interfaceDiscriminative modelInterfacingComputer scienceConstruct (python library)
• Brain–Computer Interface–Based Communication in the Completely Locked-In State
  Despite partial success, communication has remained impossible for persons suffering from complete motor paralysis but intact cognitive and emotional processing, a state called complete locked-in state (CLIS). Based on a motor learning theoretical context and …
  openalex Ujwal Chaudhary, Bin Xia, Stefano Silvoni, Leonardo G. Cohen 等 2017-01-31 置信度 0.72 Brain–computer interfaceElectroencephalographyCognitionAmyotrophic lateral sclerosisContext (archaeology)
• Brain-computer interface technologies: from signal to action
  Here, we present a state-of-the-art review of the research performed on the brain-computer interface (BCI) technologies with a focus on signal processing approaches. BCI can be divided into three main components: signal acquisition, signal processing, and effe…
  openalex Alexis Ortiz-Rosario, Hojjat Adeli 2013-01-01 置信度 0.72 Brain–computer interfaceComputer scienceSignal processingSIGNAL (programming language)Artificial intelligence
• Motivation modulates the P300 amplitude during brain–computer interface use
  openalex Sonja C. Kleih, Femke Nijboer, Sebastian Halder, Andrea Kübler 2010-02-26 置信度 0.72 Brain–computer interfaceEvent-related potentialPsychologyAudiologyAmplitude
• Towards Practical Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) are devices that enable people to communicate via thought alone. Brain signals can be directly translated into messages or commands. Until recently, these devices were
  openalex Brendan Z. Allison, Stephen Dunne, Robert Leeb, José del R. Millán 等 2012-08-21 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionPsychologyNeuroscience
• Flashing characters with famous faces improves ERP-based brain–computer interface performance
  Currently, the event-related potential (ERP)-based spelling device, often referred to as P300-Speller, is the most commonly used brain-computer interface (BCI) for enhancing communication of patients with impaired speech or motor function. Among numerous impro…
  openalex Tobias Kaufmann, Stefan M. Schulz, C Grünzinger, Andrea Kübler 2011-09-20 置信度 0.72 Brain–computer interfaceStimulus (psychology)Event-related potentialComputer scienceSalience (neuroscience)
• Using brain–computer interfaces to induce neural plasticity and restore function
  Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain-computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly g…
  openalex Moritz Grosse‐Wentrup, Donatella Mattia, Karim Oweiss 2011-03-24 置信度 0.72 Brain–computer interfaceComputer scienceBrain functionNeuroplasticityFunction (biology)
• Robust classification of EEG signal for brain-computer interface
  We report the implementation of a text input application (speller) based on the P300 event related potential. We obtain high accuracies by using an SVM classifier and a novel feature. These techniques enable us to maintain fast performance without sacrificing …
  openalex M. Thulasidas, Cuntai Guan, Jiankang Wu 2006-03-01 置信度 0.72 Brain–computer interfaceComputer scienceUsabilitySupport vector machineUSable
• Emulation of computer mouse control with a noninvasive brain–computer interface
  Brain-computer interface (BCI) technology can provide nonmuscular communication and control to people who are severely paralyzed. BCIs can use noninvasive or invasive techniques for recording the brain signals that convey the user's commands. Although noninvas…
  openalex Dennis J. McFarland, Dean J. Krusienski, William A. Sarnacki, Jonathan R. Wolpaw 2008-03-05 置信度 0.72 EmulationComputer scienceBrain–computer interfaceHuman–computer interactionInterface (matter)
• Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
  The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-signal classification that can be used in the formulation of control commands. In the present study, an experimental hybrid near-infrared spectroscopy-electroencephalogra…
  openalex Muhammad Jawad Khan, Melissa Jiyoun Hong, Keum‐Shik Hong 2014-04-28 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Brain activity and meditation
• Real-world applications for brain-computer interface technology
  The mission of the Georgia State University BrainLab is to create and adapt methods of human-computer interaction that will allow brain-computer interface (BCI) technologies to effectively control real-world applications. Most of the existing BCI applications …
  openalex Melody M. Moore 2003-06-01 置信度 0.72 Brain–computer interfaceComputer scienceVariety (cybernetics)Interface (matter)Human–computer interaction
• Brain-computer interfaces: Definitions and principles
  openalex Jonathan R. Wolpaw, José del R. Millán, Nick F. Ramsey 2020-01-01 置信度 0.72 Brain–computer interfaceNeuroscienceComputer scienceBrainstemElectroencephalography
• A hybrid brain–computer interface based on the fusion of electroencephalographic and electromyographic activities
  Hybrid brain-computer interfaces (BCIs) are representing a recent approach to develop practical BCIs. In such a system disabled users are able to use all their remaining functionalities as control possibilities in parallel with the BCI. Sometimes these people …
  openalex Robert Leeb, Hesam Sagha, Ricardo Chavarriaga, José del R. Millán 2011-03-24 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Electromyography
• A Self-Paced and Calibration-Less SSVEP-Based Brain–Computer Interface Speller
  A brain-computer interface (BCI) is a communication system based on neural activity. Its goal is to provide a new output channel for the brain that requires voluntary control. We propose a new self-paced BCI speller based on the detection of steady-state visua…
  openalex Hubert Cecotti 2010-01-20 置信度 0.72 Brain–computer interfaceComputer scienceUndoInterface (matter)Speech recognition
• Brain–Computer Interfaces: Something New under the Sun
  This chapter begins by briefly addressing the question: What is a brain-computer interface (BCI)? It then covers the provenance of the term BCI and its present definition, synonymous or subsidiary terms, and related neurotechnology. The remainder of the chapte…
  openalex Jonathan R. Wolpaw, Elizabeth Winter Wolpaw 2012-01-23 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionElectroencephalography
• Brain–Computer Interface: Toward an Emancipatory Neurotechnology from the Global South
  This article explores brain–computer interfaces (BCIs) from the perspective of the Global South, proposing their transformation into emancipatory tools for inclusion, care, and autonomy. It argues that the social value of BCIs depends on anchoring innovation i…
  crossref Clara Elisa Tapia Nin, José Wilson Gómez Cumpa 2026-03-04T11:34:21Z 置信度 0.70
• A Tactile Brain-Computer Interface for Virtual Wheelchair Control at Home
  Brain-Computer Interfaces (BCI) allow for the interaction with the environment without relying on intact motor function. BCI paradigms based on visual stimulation are prevalent and highly efficient but fail once vision or gaze control are impaired. We present …
  crossref Matthias Eidel, Wolfgang Troger, Martin Winterholler, Thomas Giesler 等 2021-05-17T22:58:03Z 置信度 0.70
• A brain-computer interface speller using peripheral stimulus-based SSVEP and P300
  In brain-computer interface (BCI) research, spellers are valuable issues because they can provide communication channel to human. In this paper, we propose a novel hybrid speller that is SSVEP feedback with peripheral-vision stimulus to the conventional P300 p…
  crossref Ji-Young Hwang, Min-Ho Lee, Seong-Whan Lee 2017-02-20T21:35:38Z 置信度 0.70
• Brain Computer Interface Based on the Flash Onset and Offset Visual Evoked Potentials
  Severe motor disabilities can limit one's ability in communication, especially for patients suffering from amyotrophic lateral sclerosis (ALS), severe cerebral palsy, head trauma, multiple sclerosis, and muscular dystrophies who are incapable of conveying thei…
  crossref Po-Lei Lee, Yu-Te Wu, Kuo-Kai Shyu, Jen-Chuen Hsieh 2012-03-29T04:24:04Z 置信度 0.70
• 2014 International Winter Workshop on Brain-Computer Interface (BCI)
  crossref 2020-02-05T22:19:53Z 置信度 0.70
• EEG-based brain-computer interface for real-time communication of patients in completely locked-in state
  In this study, we developed a practical EEG-based BCI paradigm for online binary communication of patients in completely locked-in state (CLIS). The performance of our BCI paradigm was evaluated with a female patient in CLIS, who had never communicated even wi…
  crossref Chang-Hee Han, Chang-Hwan Im 2018-03-12T17:53:47Z 置信度 0.70
• Recent Advances in Brain-Computer Interface Systems
  Brain Computer Interface (BCI) technology provides a direct electronic interface and can convey messages and commands directly from the human brain to a computer. BCI technology involves monitoring conscious brain electrical activity via electroencephalogram (…
  crossref 2012-03-29T08:24:04Z 置信度 0.70
• Multi-Filters Common Spatial Pattern with NSGA-II-Based Feature Selection in Brain-Computer Interface
  Filtering the raw EEG signals is a critical step because it affects the performance of BCI. How to choose the best filters is important. To address the problem, this paper proposes a new approach named multi-filters common spatial pattern (MFCSP), which uses s…
  crossref Ping Tan, Siyao Mo, Weiping Sa 2021-05-17T22:58:03Z 置信度 0.70