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Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for neuroprosthetics. However, reports on applications with electroencephalography (EEG) show a demand for a better accuracy and stability. Here we investigate whether near-infrared spec…
openalex
Siamac Fazli, Jan Mehnert, Jens Steinbrink, Gabriel Curio 等
2011-08-07
置信度 0.72
Brain–computer interfaceInterface (matter)ElectroencephalographyComputer scienceNeuroscience
-
Over the past several decades, electroencephalogram (EEG)-based brain-computer interfaces (BCIs) have attracted attention from researchers in the field of neuroscience, neural engineering, and clinical rehabilitation. While the performance of BCI systems has i…
openalex
Shangkai Gao, Yijun Wang, Xiaorong Gao, Bo Hong
2014-01-31
置信度 0.72
Brain–computer interfaceComputer scienceHuman–computer interactionElectroencephalographyVisualization
-
Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing problems. However, the successful application of these methods in motor imagery (MI) brain-computer interf…
openalex
Siavash Sakhavi, Cuntai Guan, Shuicheng Yan
2018-03-09
置信度 0.72
Brain–computer interfaceComputer scienceConvolutional neural networkArtificial intelligenceRepresentation (politics)
-
The brain's electrical signals enable people without muscle control to physically interact with the world.
openalex
Dennis J. McFarland, Jonathan R. Wolpaw
2011-04-26
置信度 0.72
Computer scienceBrain–computer interfaceControl (management)Human–computer interactionCognitive science
-
OBJECTIVE: Motor imagery (MI) is assumed to enhance poststroke motor recovery, yet its benefits are debatable. Brain-computer interfaces (BCIs) can provide instantaneous and quantitative measure of cerebral functions modulated by MI. The efficacy of BCI-monito…
openalex
Floriana Pichiorri, Giovanni Morone, Manuela Petti, Jlenia Toppi 等
2015-02-24
置信度 0.72
Motor imageryBrain–computer interfacePhysical medicine and rehabilitationRehabilitationElectroencephalography
-
openalex
Femke Nijboer, Eric W. Sellers, Jürgen Mellinger, Mathias Jordan 等
2008-06-21
置信度 0.72
Brain–computer interfaceLinear discriminant analysisAudiologyOddball paradigmElectroencephalography
-
Prosthetic arms controlled by a brain-computer interface can enable people with tetraplegia to perform functional movements. However, vision provides limited feedback because information about grasping objects is best relayed through tactile feedback. We suppl…
openalex
Sharlene N. Flesher, John E. Downey, Jeffrey M. Weiss, Christopher Hughes 等
2021-05-21
置信度 0.72
Brain–computer interfaceSomatosensory systemTetraplegiaMicrostimulationNeuroprosthetics
-
Studies at the Wadsworth Center over the past 14 years have shown that people with or without motor disabilities can learn to control the amplitude of mu or beta rhythms in electroencephalographic (EEG) activity recorded from the scalp over sensorimotor cortex…
openalex
Jonathan R. Wolpaw, Dennis J. McFarland, Theresa M. Vaughan
2000-06-01
置信度 0.72
Brain–computer interfaceElectroencephalographySensorimotor rhythmInterface (matter)Scalp
-
openalex
Edwin M. Maynard, Craig T. Nordhausen, Richard A. Normann
1997-03-01
置信度 0.72
Brain–computer interfaceStimulus (psychology)Computer scienceMicroelectrodeMultielectrode array
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This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mental imagination of specific movements are classified on-line and …
openalex
G. Pfurtscheller, Christa Neuper, C. Guger, W. Harkam 等
2000-06-01
置信度 0.72
Brain–computer interfaceElectroencephalographyCursor (databases)Interface (matter)Computer science
-
A Brain-Computer Interface (BCI) provides a novel non-muscular communication method via brain signals. A BCI-speller can be considered as one of the first published BCI applications and has opened the gate for many advances in the field. Although many BCI-spel…
openalex
Aya Rezeika, Mihaly Benda, Piotr Stawicki, Felix Gembler 等
2018-03-30
置信度 0.72
Brain–computer interfaceComputer scienceSpellingInterface (matter)Field (mathematics)
-
Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings. MI data is generated when a subject ima…
openalex
Natasha Padfield, Jaime Zabalza, Huimin Zhao, Valentín Masero 等
2019-03-22
置信度 0.72
Brain–computer interfaceMotor imageryElectroencephalographyComputer scienceFeature extraction
-
openalex
Femke Nijboer, Adrian Furdea, Ingo Gunst, Jürgen Mellinger 等
2007-02-21
置信度 0.72
Brain–computer interfaceSession (web analytics)PsychologyElectroencephalographyAuditory feedback
-
This paper presents a benchmark steady-state visual evoked potential (SSVEP) dataset acquired with a 40-target brain- computer interface (BCI) speller. The dataset consists of 64-channel Electroencephalogram (EEG) data from 35 healthy subjects (8 experienced a…
openalex
Yijun Wang, Xiaogang Chen, Xiaorong Gao, Shangkai Gao
2016-11-10
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyBenchmark (surveying)Speech recognition
-
OBJECTIVE: The past two decades have seen dramatic progress in our ability to model brain signals recorded by electroencephalography, functional near-infrared spectroscopy, etc., and to derive real-time estimates of user cognitive state, response, or intent fo…
openalex
Christian Kothe, Scott Makeig
2013-08-28
置信度 0.72
Computer scienceBrain–computer interfaceToolboxHuman–computer interactionInterface (matter)
-
openalex
Jürgen Mellinger, Gerwin Schalk, Christoph Braun, Hubert Preißl 等
2007-03-28
置信度 0.72
Brain–computer interfaceMagnetoencephalographySensorimotor rhythmElectroencephalographyComputer science
-
The performance of brain-computer interfaces (BCIs) improves with the amount of available training data; the statistical distribution of this data, however, varies across subjects as well as across sessions within individual subjects, limiting the transferabil…
openalex
Vinay Jayaram, Morteza Alamgir, Yasemin Altün, Bernhard Schölkopf 等
2016-01-12
置信度 0.72
Brain–computer interfaceComputer scienceSession (web analytics)Transfer of learningContext (archaeology)
-
Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders…
openalex
Brendan Z. Allison, Elizabeth Winter Wolpaw, Jonathan R. Wolpaw
2007-07-01
置信度 0.72
Brain–computer interfaceInterface (matter)Computer scienceNeuroscienceHuman–computer interaction
-
This paper describes the OpenViBE software platform which enables researchers to design, test, and use brain–computer interfaces (BCIs). BCIs are communication systems that enable users to send commands to computers solely by means of brain activity. BCIs are …
openalex
Yann Renard, Fabien Lotte, Guillaume Gibert, Marco Congedo 等
2010-02-01
置信度 0.72
Computer scienceBrain–computer interfaceVirtual realityVisualizationHuman–computer interaction
-
openalex
Gert Pfurtscheller, Doris Flotzinger, J. Kalcher
1993-07-01
置信度 0.72
Brain–computer interfaceCursor (databases)Interface (matter)Computer scienceElectroencephalography
-
OBJECTIVE: Recently, canonical correlation analysis (CCA) has been widely used in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) due to its high efficiency, robustness, and simple implementation. However, a method with whic…
openalex
Xiaogang Chen, Yijun Wang, Shangkai Gao, Tzyy‐Ping Jung 等
2015-06-02
置信度 0.72
Canonical correlationBrain–computer interfaceComputer scienceSpeech recognitionFilter bank
-
Many studies over the past two decades have shown that people and animals can use brain signals to convey their intent to a computer using brain-computer interfaces (BCIs). BCI systems measure specific features of brain activity and translate them into control…
openalex
Gerwin Schalk, Eric C. Leuthardt
2011-01-01
置信度 0.72
Brain–computer interfaceComputer scienceElectrocorticographyElectroencephalographyBrain activity and meditation
-
openalex
Bernhard Graimann, Brendan Z. Allison, Gert Pfurtscheller
2010-01-01
置信度 0.72
Computer scienceBrain–computer interfaceHuman–computer interactionPsychologyNeuroscience
-
A brain-computer interface (BCI) is a communication system that allows to control a computer or any other device thanks to the brain activity. The BCI described in this paper is based on the P300 speller BCI paradigm introduced by Farwell and Donchin . An unsu…
openalex
Bertrand Rivet, Antoine Souloumiac, Virginie Attina, Guillaume Gibert
2009-01-28
置信度 0.72
Brain–computer interfaceComputer scienceLinear discriminant analysisSubspace topologyElectroencephalography
-
Major challenges must be tackled for brain-computer interfaces to mature into an established communications medium for VR applications, which will range from basic neuroscience studies to developing optimal peripherals and mental gamepads and more efficient br…
openalex
Anatole Lécuyer, Fabien Lotte, Richard B. Reilly, R. Leeb 等
2008-10-01
置信度 0.72
Computer scienceHuman–computer interactionVirtual realityBrain–computer interfaceRange (aeronautics)
-
Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review is to give an overview of the various steps in the BCI cycle, i…
openalex
Marcel van Gerven, Jason Farquhar, Rebecca Schaefer, Rutger Vlek 等
2009-07-22
置信度 0.72
Computer scienceBrain–computer interfaceInterface (matter)Human–computer interactionElectroencephalography
-
openalex
Ferran Galán, Marnix Nuttin, Eileen Lew, Pierre W. Ferrez 等
2008-07-15
置信度 0.72
WheelchairBrain–computer interfaceComputer scienceAsynchronous communicationRobustness (evolution)
-
Although promising from numerous applications, current brain-computer interfaces (BCIs) still suffer from a number of limitations. In particular, they are sensitive to noise, outliers and the non-stationarity of electroencephalographic (EEG) signals, they requ…
openalex
Florian Yger, Maxime Bérar, Fabien Lotte
2016-11-09
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyCovarianceOutlier
-
In recent years, there has been increasing interest in using steady-state visual evoked potential (SSVEP) in brain-computer interface (BCI) systems. However, several aspects of current SSVEP-based BCI systems need improvement, specifically in relation to speed…
openalex
Guangyu Bin, Xiaorong Gao, Yan Zheng, Bo Hong 等
2009-06-03
置信度 0.72
Brain–computer interfaceCanonical correlationComputer scienceInterface (matter)Channel (broadcasting)
-
A brain-computer interface (BCI) is a system for direct communication between brain and computer. The BCI developed in this work is based on a BCI described by Farwell and Donchin in 1988, which allows a subject to communicate one of 36 symbols presented on a …
openalex
H. Serby, Elad Yom‐Tov, G.F. Inbar
2005-03-01
置信度 0.72
Brain–computer interfaceComputer scienceInterface (matter)Independent component analysisSpeech recognition
-
Brain-computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might trigge…
openalex
María A. Cervera, Surjo R. Soekadar, Junichi Ushiba, José del R. Millán 等
2018-03-25
置信度 0.72
MedicinePhysical medicine and rehabilitationRehabilitationStroke (engine)Meta-analysis
-
BACKGROUND AND PURPOSE: Stroke is a leading cause of long-term motor disability among adults. Present rehabilitative interventions are largely unsuccessful in improving the most severe cases of motor impairment, particularly in relation to hand function. Here …
openalex
Ethan R. Buch, Cornelia Weber, Leonardo G. Cohen, Christoph Braun 等
2008-02-08
置信度 0.72
Brain–computer interfaceMedicineStroke (engine)Physical medicine and rehabilitationInterface (matter)
-
People with severe motor disabilities can maintain an acceptable quality of life if they can communicate. Brain-computer interfaces (BCIs), which do not depend on muscle control, can provide communication. Four people severely disabled by ALS learned to operat…
openalex
Andrea Kübler, Femke Nijboer, Jürgen Mellinger, Theresa M. Vaughan 等
2005-05-24
置信度 0.72
Brain–computer interfaceSensorimotor rhythmRhythmSensorimotor cortexPhysical medicine and rehabilitation
-
Brain-computer interfaces (BCIs) have the potential to restore communication for people with tetraplegia and anarthria by translating neural activity into control signals for assistive communication devices. While previous pre-clinical and clinical studies hav…
openalex
Chethan Pandarinath, Paul Nuyujukian, Christine H Blabe, Brittany L Sorice 等
2017-02-21
置信度 0.72
Brain–computer interfaceInterface (matter)NeuroscienceParalysisComputer science
-
Recently, electroencephalogram (EEG)-based brain- computer interfaces (BCIs) have become a hot spot in the study of neural engineering, rehabilitation, and brain science. In this article, we review BCI systems based on visual evoked potentials (VEPs). Although…
openalex
Yijun Wang, Xiaorong Gao, Bo Hong, Chuan Jia 等
2008-09-01
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyUsabilityVisual evoked potentials
-
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have poten…
openalex
Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa 等
2021-02-25
置信度 0.72
Brain–computer interfaceStandardizationComputer scienceField (mathematics)Brain research
-
Brain-computer interfaces (BCIs) allow their users to communicate or control external devices using brain signals rather than the brain's normal output pathways of peripheral nerves and muscles. Motivated by the hope of restoring independence to severely disab…
openalex
Joseph N. Mak, Jonathan R. Wolpaw
2009-01-01
置信度 0.72
Brain–computer interfaceComputer scienceHuman–computer interactionInterface (matter)Neuroscience
-
At the recent Second International Meeting on Brain-Computer Interfaces (BCIs) held in June 2002 in Rensselaerville, NY, a formal debate was held on the pros and cons of linear and nonlinear methods in BCI research. Specific examples applying EEG data sets to …
openalex
K. Müller, Charles W. Anderson, Gary E. Birch
2003-06-01
置信度 0.72
Nonlinear systemBrain–computer interfaceComputer scienceSimplicityLinear model
-
Driven by the progress in the field of single-trial analysis of EEG, there is a growing interest in brain computer interfaces (BCIs), i.e., systems that enable human subjects to control a computer only by means of their brain signals. In a pseudo-online simula…
openalex
Benjamin Blankertz, Gabriel Curio, Klaus‐Robert Müller
2002-11-08
置信度 0.72
Brain–computer interfaceComputer scienceSupport vector machineElectroencephalographyDiscriminative model
-
A brain-computer interface (BCI) is a device that allows a user to communicate with external devices through thought processes alone. A novel signal acquisition tool for BCIs is near-infrared spectroscopy (NIRS), an optical technique to measure localized corti…
openalex
Shirley Coyle, Tomás Ward, C.M. Markham
2007-04-27
置信度 0.72
Brain–computer interfaceComputer scienceSoftware portabilityFunctional near-infrared spectroscopyInterface (matter)
-
In this paper, novel methods for detecting steady-state visual evoked potentials using multiple electroencephalogram (EEG) signals are presented. The methods are tailored for brain-computer interfacing, where fast and accurate detection is of vital importance …
openalex
Ola Friman, Ivan Volosyak, Axel Gräser
2007-03-28
置信度 0.72
Computer scienceInterfacingElectroencephalographyBrain–computer interfaceArtificial intelligence
-
Many studies over the past two decades have shown that people can use brain signals to convey their intent to a computer using brain-computer interfaces (BCIs). BCI systems extract specific features of brain activity and translate them into control signals tha…
openalex
Han Yuan, Bin He
2014-03-19
置信度 0.72
Brain–computer interfaceSensorimotor rhythmElectroencephalographyComputer scienceNeural engineering
-
We describe a brain-computer interface for controlling a humanoid robot directly using brain signals obtained non-invasively from the scalp through electroencephalography (EEG). EEG has previously been used for tasks such as controlling a cursor and spelling a…
openalex
Christian Bell, Pradeep Shenoy, Rawichote Chalodhorn, Rajesh P. N. Rao
2008-05-15
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyHumanoid robotInterface (matter)
-
PURPOSE OF REVIEW: Communication with patients suffering from locked-in syndrome and other forms of paralysis is an unsolved challenge. Movement restoration for patients with chronic stroke or other brain damage also remains a therapeutic problem and available…
openalex
Niels Birbaumer, Ander Ramos‐Murguialday, Leonardo G. Cohen
2008-11-05
置信度 0.72
Brain–computer interfaceLocked-in syndromeElectroencephalographyNeuroscienceAmyotrophic lateral sclerosis
-
Ninety-nine healthy people participated in a brain-computer interface (BCI) field study conducted at an exposition held in Graz, Austria. Each subject spent 20-30 min on a two-session BCI investigation. The first session consisted of 40 trials conducted withou…
openalex
C. Guger, Günter Edlinger, W. Harkam, I. Niedermayer 等
2003-06-01
置信度 0.72
Brain–computer interfaceElectroencephalographyComputer scienceSession (web analytics)Sensorimotor rhythm
-
OBJECTIVE: At the balanced intersection of human and machine adaptation is found the optimally functioning brain-computer interface (BCI). In this study, we report a novel experiment of BCI controlling a robotic quadcopter in three-dimensional (3D) physical sp…
openalex
K. R. LaFleur, Kaitlin Cassady, Alexander Doud, Kaleb Shades 等
2013-06-04
置信度 0.72
Brain–computer interfaceComputer scienceMotor imageryElectroencephalographyContext (archaeology)
-
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. Rese…
openalex
Anton Nijholt, Desney Tan
2008-05-01
置信度 0.72
InterfacingBrain–computer interfaceComputer scienceInterface (matter)Human–computer interaction
-
openalex
Christoph Guger, Shahab Daban, Eric W. Sellers, Clemens Holzner 等
2009-06-22
置信度 0.72
Brain–computer interfaceSpellingComputer scienceElectroencephalographySpeech recognition
-
Brain-computer interfaces (BCIs) can provide non-muscular communication and control for people with severe motor disabilities. Current BCIs use a variety of invasive and non-invasive methods to record brain signals and a variety of signal processing methods. W…
openalex
Jonathan R. Wolpaw
2007-01-25
置信度 0.72
Brain–computer interfaceNeuroscienceMotor controlMotor cortexComputer science
-
OBJECTIVE: This paper targets a major challenge in developing practical electroencephalogram (EEG)-based brain-computer interfaces (BCIs): how to cope with individual differences so that better learning performance can be obtained for a new subject, with minim…
openalex
He He, Dongrui Wu
2019-04-29
置信度 0.72
Computer scienceBrain–computer interfaceTransfer of learningElectroencephalographyArtificial intelligence
-
The Brain-Computer Interface (BCI) research community has acknowledged that researchers are experiencing difficulties when they try to compare the BCI techniques described in the literature. In response to this situation, the community has stressed the need fo…
openalex
S.G. Mason, Gary E. Birch
2003-03-01
置信度 0.72
Brain–computer interfaceComputer scienceInterface (matter)Human–computer interactionSet (abstract data type)
-
Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI) decoding is currently attracting increasing attention, due to accumulating documentation of its simplicity, accuracy, robustness and transfer learning capabilities, inc…
openalex
Marco Congedo, Alexandre Barachant, Rajendra Bhatia
2017-03-27
置信度 0.72
Riemannian geometryComputer scienceRobustness (evolution)Python (programming language)Brain–computer interface
-
Our objective was to develop and validate a new brain-computer interface (BCI) system suitable for long-term independent home use by people with severe motor disabilities. The BCI was used by a 51-year-old male with ALS who could no longer use conventional ass…
openalex
Eric W. Sellers, Theresa M. Vaughan, Jonathan R. Wolpaw
2010-06-29
置信度 0.72
Brain–computer interfaceInterface (matter)Term (time)Computer sciencePsychology
-
Background: Most investigators of brain-computer interface (BCI) research believe that BCI can be achieved through induced neuronal activity from the cortex, but not by evoked neuronal activity. Motor imagery (MI)-based BCI is one of the standard concepts of B…
openalex
Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon 等
2017-05-04
置信度 0.72
Brain–computer interfaceMotor imageryElectroencephalographyComputer scienceInterface (matter)
-
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves. It is worth noting that the application of BCI is not limited to medical applications, and hence, the research in this field has…
openalex
Mamunur Rashid, Norizam Sulaiman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa 等
2020-06-03
置信度 0.72
Computer scienceBrain–computer interfaceElectroencephalographyInterface (matter)Human–computer interaction
-
openalex
Dennis J. McFarland, Jonathan R. Wolpaw
2017-11-28
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyHuman–computer interactionBrain activity and meditation
-
In this study, we investigated a Brain-Computer Interface (BCI) based on EEG responses to vibro-tactile stimuli around the waist. P300 BCIs based on tactile stimuli have the advantage of not taxing the visual or auditory system and of being potentially unnotic…
openalex
Anne-Marie Brouwer, Brouwer
2010-01-01
置信度 0.72
Brain–computer interfaceStimulus (psychology)ElectroencephalographyStimulus onset asynchronyComputer science
-
A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely on one of three types of signals: the P300 and other components of the event-related potential (ERP), s…
openalex
Reza Fazel-Rezai, Brendan Z. Allison, Christoph Guger, Eric W. Sellers 等
2012-01-01
置信度 0.72
Brain–computer interfaceElectroencephalographyComputer scienceOddball paradigmEvent-related potential
-
openalex
Ranganatha Sitaram, Haihong Zhang, Cuntai Guan, M. Thulasidas 等
2006-12-29
置信度 0.72
Brain–computer interfaceMotor imagerySupport vector machineComputer scienceFunctional near-infrared spectroscopy
-
Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output device by bypassing conventional motor output pathways of nerves and muscles. Therefore they could provide a new communication and control option for paraly…
openalex
Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch 等
2006-10-18
置信度 0.72
InterfacingComputer scienceBrain–computer interfaceComputer ApplicationsSpatial filter
-
Brain-computer interaction has already moved from assistive care to applications such as gaming. Improvements in usability, hardware, signal processing, and system integration should yield applications in other nonmedical areas.
openalex
Jan B. F. van Erp, Fabien Lotte, Michael Tangermann
2012-03-06
置信度 0.72
UsabilityHuman–computer interactionComputer scienceBrain–computer interfacePsychology
-
Interpreting human neural signals to decode static speech intentions such as text or images and dynamic speech intentions such as audio or video is showing great potential as an innovative communication tool. Human communication accompanies various features, s…
arxiv
Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee
2024-11-14T06:15:05Z
置信度 0.78
cs.AI
-
Noninvasive brain-computer interface (BCI) is widely used to recognize users' intentions. Especially, BCI related to tactile and sensation decoding could provide various effects on many industrial fields such as manufacturing advanced touch displays, controlli…
arxiv
Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee
2020-12-12T08:08:47Z
置信度 0.78
cs.HC
-
The inter/intra-subject variability of electroencephalography (EEG) makes the practical use of the brain-computer interface (BCI) difficult. In general, the BCI system requires a calibration procedure to acquire subject/session-specific data to tune the model …
arxiv
Dong-Kyun Han, Ji-Hoon Jeong
2020-12-07T08:47:42Z
置信度 0.78
cs.HC
-
We study the extent to which vibrotactile stimuli delivered to the head of a subject can serve as a platform for a brain computer interface (BCI) paradigm. Six head positions are used to evoke combined somatosensory and auditory (via the bone conduction effect…
arxiv
H. Mori, Y. Matsumoto, Z. R. Struzik, K. Mori 等
2013-01-27T14:18:04Z
置信度 0.78
q-bio.NCcs.HC
-
We study the extent to which contact-less and airborne ultrasonic tactile display (AUTD) stimuli delivered to the palms of a user can serve as a platform for a brain computer interface (BCI) paradigm. Six palm positions are used to evoke combined somatosensory…
arxiv
Katsuhiko Hamada, Hiromu Mori, Hiroyuki Shinoda, Tomasz M. Rutkowski
2014-04-16T10:10:25Z
置信度 0.78
q-bio.NCcs.HC
-
The inter/intra-subject variability of electroencephalography (EEG) makes the practical use of the brain-computer interface (BCI) difficult. In general, the BCI system requires a calibration procedure to tune the model every time the system is used. This probl…
arxiv
Dong-Kyun Han, Serkan Musellim, Dong-Young Kim, Ji-Hoon Jeong
2021-12-15T15:23:23Z
置信度 0.78
cs.HCcs.AIcs.LGeess.SP
-
A brain-computer interface (BCI) can't be effectively used since electroencephalography (EEG) varies between and within subjects. BCI systems require calibration steps to adjust the model to subject-specific data. It is widely acknowledged that this is a major…
arxiv
Dong-Kyun Han, Dong-Young Kim, Geun-Deok Jang
2023-01-19T05:48:05Z
置信度 0.78
cs.AI
-
We aim at an augmentation of communication abilities of amyotrophic lateral sclerosis (ALS) patients by creating a brain-computer interface (BCI) which can control a computer or other device by using only brain activity. As a method, we use a stimulus-driven B…
arxiv
Takumi Kodama, Shoji Makino, Tomasz M. Rutkowski
2014-04-16T12:51:08Z
置信度 0.78
q-bio.NCcs.HC
-
This study provides a comprehensive test of the head-related impulse response (HRIR) to an auditory spatial speller brain-computer interface (BCI) paradigm, including a comparison with a conventional virtual headphone-based spatial auditory modality. Five BCI-…
arxiv
Chisaki Nakaizumi, Toshie Matsui, Koichi Mori, Shoji Makino 等
2014-04-15T15:40:14Z
置信度 0.78
q-bio.NCcs.HC
-
Across- and within-recording variabilities in electroencephalographic (EEG) activity is a major limitation in EEG-based brain-computer interfaces (BCIs). Specifically, gradual changes in fatigue and vigilance levels during long EEG recording durations and BCI …
arxiv
Ozan Ozdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken 等
2019-07-22T19:28:37Z
置信度 0.78
cs.HCcs.LG
-
A limitation of brain-computer interface (BCI) spellers is that they require the user to be able to move the eyes to fixate on targets. This poses an issue for users who cannot voluntarily control their eye movements, for instance, people living with late-stag…
arxiv
S. Narayanan, S. Ahmadi, P. Desain, J. Thielen
2024-03-22T13:34:46Z
置信度 0.78
cs.HCcs.LG
-
Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering promising applications for neuro-steered hearing devices and brain-computer interfacing. This pilot study makes a first step towards …
arxiv
H. A. Scheppink, S. Ahmadi, P. Desain, M. Tangermann 等
2024-03-22T13:35:34Z
置信度 0.78
q-bio.NCcs.AIcs.LGcs.SDeess.AS
-
This study explores two zero-training methods aimed at enhancing the usability of brain-computer interfaces (BCIs) by eliminating the need for a calibration session. We introduce a novel method rooted in the event-related potential (ERP) domain, unsupervised m…
arxiv
J. Thielen, J. Sosulski, M. Tangermann
2024-03-22T13:20:33Z
置信度 0.78
eess.SPcs.LG
-
Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer interface systems sig…
arxiv
Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan 等
2019-05-10T13:04:00Z
置信度 0.78
cs.HCcs.LGeess.SPq-bio.NC
-
The presented study explores the extent to which tactile stimuli delivered to five chest positions of a healthy user can serve as a platform for a brain computer interface (BCI) that could be used in an interactive application such as robotic vehicle operation…
arxiv
Hiromu Mori, Shoji Makino, Tomasz M. Rutkowski
2013-07-28T08:24:20Z
置信度 0.78
q-bio.NCcs.HCcs.RO
-
Brain-computer interfaces (BCIs) connect biological neurons in the brain with external systems like prosthetics and computers. They are increasingly incorporating processing capabilities to analyze and stimulate neural activity, and consequently, pose unique d…
arxiv
Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee
2024-09-26T00:34:23Z
置信度 0.78
cs.ARcs.CY
-
We report on an extended robot control application of a contact-less and airborne ultrasonic tactile display (AUTD) stimulus-based brain-computer interface (BCI) paradigm, which received last year The Annual BCI Research Award 2014. In the award winning human …
arxiv
Tomasz M. Rutkowski, Hiromu Mori, Takumi Kodama, Hiroyuki Shinoda
2015-01-30T08:21:10Z
置信度 0.78
cs.HCcs.ROq-bio.NC
-
Researchers increasingly explore deploying brain-computer interfaces (BCIs) for able-bodied users, with the motivation of accessing mental states more directly than allowed by existing body-mediated interaction. This motivation seems to contradict the long-sta…
arxiv
Barış Serim, Michiel Spapé, Giulio Jacucci
2022-01-29T23:12:26Z
置信度 0.78
cs.HC
-
A brain-computer interface (BCI) enables direct communication between the brain and an external device. Electroencephalogram (EEG) is a common input signal for BCIs, due to its convenience and low cost. Most research on EEG-based BCIs focuses on the accurate d…
arxiv
Lubin Meng, Xue Jiang, Xiaoqing Chen, Wenzhong Liu 等
2024-12-10T06:42:46Z
置信度 0.78
cs.HCcs.LG
-
We review how existing trends are relevant to the discussion of brain-computer interfaces and the data they would generate. Then, we posit how the commerce of neural data, dubbed Neurocapitalism, could be impacted by the maturation of brain-computer interface …
arxiv
Srdjan Lesaja, Xavier-Lewis Palmer
2020-09-16T21:51:00Z
置信度 0.78
cs.HC
-
Combining information from different sources is a common way to improve classification accuracy in Brain-Computer Interfacing (BCI). For instance, in small sample settings it is useful to integrate data from other subjects or sessions in order to improve the e…
arxiv
Wojciech Samek, Alexander Binder, Klaus-Robert Müller
2013-10-22T21:46:02Z
置信度 0.78
stat.ML
-
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus …
arxiv
Shota Kono, Daiki Aminaka, Shoji Makino, Tomasz M. Rutkowski
2013-10-06T15:18:34Z
置信度 0.78
q-bio.NCcs.HC
-
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, thus can be reliably estim…
arxiv
Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
2012-09-18T22:37:10Z
置信度 0.78
stat.MLcs.HCcs.LG
-
This study reports on a head related impulse response (HRIR) application to an auditory spatial brain-computer interface (BCI) speller paradigm. Six experienced and five BCI-naive users participated in an experimental spelling set up based on five Japanese vow…
arxiv
Chisaki Nakaizumi, Toshie Matsui, Koichi Mori, Shoji Makino 等
2015-01-19T02:12:05Z
置信度 0.78
q-bio.NC
-
MindSculpt enables users to generate a wide range of hybrid geometries in Grasshopper in real time simply by thinking about those geometries. This design tool combines a brain-computer interface (BCI) with the parametric design platform Grasshopper, creating a…
arxiv
Qi Yang, Jesus G. Cruz-Garza, Saleh Kalantari
2023-03-07T03:33:36Z
置信度 0.78
cs.HC
-
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.1494163 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 24 subjects doing a visual P300 Brain…
arxiv
Erwan Vaineau, Alexandre Barachant, Anton Andreev, Pedro C. Rodrigues 等
2019-04-19T08:02:46Z
置信度 0.78
cs.HC
-
This paper provides a brief introduction of the mathematical theory behind the time series unfolding method. The algorithms presented serve as a valuable mathematical and analytical tool for analyzing data collected from brain-computer interfaces. In our study…
arxiv
Alexandra Bernadotte, Victor Buchstaber
2024-09-26T09:03:42Z
置信度 0.78
q-bio.NCcs.CVcs.HCeess.SP
-
This paper demonstrates that simple features available during the calibration of a brain-computer interface can be utilized for source data selection to improve the performance of the brain-computer interface for a new target user through transfer learning. To…
arxiv
Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson
2024-10-03T10:17:37Z
置信度 0.78
cs.HCcs.LG
-
Brain-Computer Interface (BCI) uses brain signals in order to provide a new method for communication between human and outside world. Feature extraction, selection and classification are among the main matters of concerns in signal processing stage of BCI. In …
arxiv
Ehsan Arbabi, Mohammad Bagher Shamsollahi
2017-09-11T05:57:07Z
置信度 0.78
cs.HCstat.ML
-
Recent advances in brain-computer interface technology have shown the potential of imagined speech and visual imagery as a robust paradigm for intuitive brain-computer interface communication. However, the internal dynamics of the two paradigms along with thei…
arxiv
Seo-Hyun Lee, Minji Lee, Seong-Whan Lee
2020-12-07T08:17:20Z
置信度 0.78
cs.HC
-
In this paper we will describe all necessary parts of Brain-Computer Interface (BCI), such as source of signals, hardware, software, analysis, architectures of complete system. We also will go along various applications of BCI, view some subject fields and the…
arxiv
Kirill A. Sorudeykin
2010-03-13T00:37:06Z
置信度 0.78
cs.HC
-
Brain-Computer Interface (BCI) is a rapidly developing technology that allows direct communications between the human brain and external devices, such as robotic arms and computers. Bayesian Networks is a powerful tool in machine learning for tackling with pro…
arxiv
Pingsheng Li
2022-05-24T00:35:53Z
置信度 0.78
eess.SP
-
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography (EEG) signals are distorted by movement artifacts and electromyography signals when users are moving, which make…
arxiv
Young-Eun Lee, Seong-Whan Lee
2021-03-03T06:04:59Z
置信度 0.78
cs.HCcs.AI
-
In this paper we introduce the concept of Brain-Computer Interface (BCI) inhibitor, which is meant to standby the BCI until the user is ready, in order to improve the overall performance and usability of the system. BCI inhibitor can be defined as a system tha…
arxiv
Laurent George, Laurent Bonnet, Anatole Lécuyer
2011-11-08T09:47:39Z
置信度 0.78
cs.HC
-
Non-invasive brain imaging techniques allow understanding the behavior and macro changes in the brain to determine the progress of a disease. However, computational pathology provides a deeper understanding of brain disorders at cellular level, able to consoli…
arxiv
Gabriel Jimenez, Daniel Racoceanu
2023-01-13T14:09:02Z
置信度 0.78
eess.IVcs.CVcs.LG
-
Brain-computer interface uses brain signals to control external devices without actual control behavior. Recently, speech imagery has been studied for direct communication using language. Speech imagery uses brain signals generated when the user imagines speec…
arxiv
Byeong-Hoo Lee, Byeong-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong
2020-12-07T12:25:33Z
置信度 0.78
cs.HCcs.SDeess.AS
-
Hull is an accelerator-rich distributed implantable Brain-Computer Interface (BCI) that reads biological neurons at data rates that are 2-3 orders of magnitude higher than the prior state of art, while supporting many neuroscientific applications. Prior approa…
arxiv
Karthik Sriram, Raghavendra Pradyumna Pothukuchi, Michał Gerasimiuk, Oliver Ye 等
2023-01-08T20:43:17Z
置信度 0.78
cs.DCcs.AR
-
To study body ownership and control, illusions that elicit these feelings in non-body objects are widely used. Classically introduced with the Rubber Hand Illusion, these illusions have been replicated more recently in virtual reality and by using brain-comput…
arxiv
Luke Bashford, Carsten Mehring
2015-12-16T15:55:14Z
置信度 0.78
q-bio.NCcs.HC
-
Myoelectric interfaces enable intuitive and natural control by decoding residual muscle activity, providing an effective pathway for motor restoration in individuals with preserved musculature. However, in patients with severe muscular atrophy or high-level sp…
arxiv
Sun Ye, Zuo Cuiming, Zhang Rui, Shi Bin 等
2025-05-27T22:35:19Z
置信度 0.78
q-bio.NC