Papers Brain Computer Interface
“Brain Computer Interface” 태그가 달린 논문 466편 · 필터 해제
Ownership and Agency of an Independent Supernumerary Hand Induced by an Imitation Brain-Computer Interface
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 v…
Brain Computer InterfaceGeometry-aware stationary subspace analysis
In many real-world applications data exhibits non-stationarity, i.e., its distribution changes over time. One approach to handling non-stationarity is to remove or minimize it before attempting to analyze the data. In th…
Brain Computer InterfaceReducing training requirements through evolutionary based dimension reduction and subject transfer
Training Brain Computer Interface (BCI) systems to understand the intention of a subject through Electroencephalogram (EEG) data currently requires multiple training sessions with a subject in order to develop the necess…
Brain Computer InterfaceDimensionality ReductionEEGElectroencephalogram (EEG)+1Neuroprosthetic decoder training as imitation learning
Neuroprosthetic brain-computer interfaces function via an algorithm which decodes neural activity of the user into movements of an end effector, such as a cursor or robotic arm. In practice, the decoder is often learned …
Brain Computer InterfaceDecoderImitation LearningImages from the Mind: BCI image evolution based on Rapid Serial Visual Presentation of polygon primitives
This paper provides a proof of concept for an EEG-based reconstruction of a visual image which is on a user's mind. Our approach is based on the Rapid Serial Visual Presentation (RSVP) of polygon primitives and Brain-Com…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Image ReconstructionChromatic and High-frequency cVEP-based BCI Paradigm
We present results of an approach to a code-modulated visual evoked potential (cVEP) based brain-computer interface (BCI) paradigm using four high-frequency flashing stimuli. To generate higher frequency stimulation comp…
Brain Computer InterfaceVocal Bursts Intensity PredictionInter-stimulus Interval Study for the Tactile Point-pressure Brain-computer Interface
The paper presents a study of an inter-stimulus interval (ISI) influence on a tactile point-pressure stimulus-based brain-computer interface's (tpBCI) classification accuracy. A novel tactile pressure generating tpBCI st…
Brain Computer InterfaceClassificationERPHead-related Impulse Response Cues for Spatial Auditory Brain-computer Interface
This study provides a comprehensive test of a head-related impulse response (HRIR) cues for a spatial auditory brain-computer interface (saBCI) speller paradigm. We present a comparison with the conventional virtual soun…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -
This paper presents an applied concept of a brain-computer interface (BCI) student research laboratory (BCI-LAB) at the Life Science Center of TARA, University of Tsukuba, Japan. Several successful case studies of the st…
Brain Computer InterfacePhilosophyTwo-step Input Spatial Auditory BCI for Japanese Kana Characters
We present an auditory stimulus optimization and a pilot study of a two-step input speller application combined with a spatial auditory brain-computer interface (saBCI) for paralyzed users. The application has been devel…
Brain Computer InterfaceEEGElectroencephalogram (EEG)ERP+1Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces
There has been an explosion of interest in functional Magnetic Resonance Imaging (MRI) during the past two decades. Naturally, this has been accompanied by many major advances in the understanding of the human connectome…
Brain Computer InterfaceFunctional ConnectivitySpatial Auditory Brain-computer Interface using Head Related Impulse Response
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 sp…
Brain Computer InterfaceUsing Riemannian geometry for SSVEP-based Brain Computer Interface
Riemannian geometry has been applied to Brain Computer Interface (BCI) for brain signals classification yielding promising results. Studying electroencephalographic (EEG) signals from their associated covariance matrices…
Brain Computer InterfaceEEGElectroencephalogram (EEG)SSVEPCanonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface
Physiological signals are often organized in the form of multiple dimensions (e.g., channel, time, task, and 3D voxel), so it is better to preserve original organization structure when processing. Unlike vector-based met…
Brain Computer InterfaceClassificationEEGElectroencephalogram (EEG)+1Feature Learning from Incomplete EEG with Denoising Autoencoder
An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI). A BCI can decode electroencephalogram (EEG) signals of brain activities, and then send a c…
Brain Computer InterfaceDenoisingEEGElectroencephalogram (EEG)+1Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Energy consumption is an important issue in continuous wireless telemonitoring of physiological signals. Compressed sensing (CS) is a promising framework to address it, due to its energy-efficient data compression proced…
Brain Computer Interfacecompressed sensingData CompressionEEG+1Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning
In this paper, we propose an automated computer platform for the purpose of classifying Electroencephalography (EEG) signals associated with left and right hand movements using a hybrid system that uses advanced feature …
BIG-bench Machine LearningBrain Computer InterfaceEEGElectroencephalogram (EEG)+1A multi-agent control framework for co-adaptation in brain-computer interfaces
In a closed-loop brain-computer interface (BCI), adaptive decoders are used to learn parameters suited to decoding the user's neural response. Feedback to the user provides information which permits the neural tuning to …
Brain Computer InterfaceDecoderA Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI
This paper presents a study in task-oriented approach to stroke rehabilitation by controlling a haptic device via near-infrared spectroscopy-based brain-computer interface (BCI). The task is to command the haptic device …
Brain Computer InterfaceClassificationGeneral ClassificationMotor ImageryClassifying Single-Trial EEG during Motor Imagery with a Small Training Set
Before the operation of a motor imagery based brain-computer interface (BCI) adopting machine learning techniques, a cumbersome training procedure is unavoidable. The development of a practical BCI posed the challenge of…
BIG-bench Machine LearningBrain Computer InterfaceEEGElectroencephalogram (EEG)+1