Papers Brain Computer Interface
“Brain Computer Interface” 태그가 달린 논문 466편 · 필터 해제
EEG-assisted Modulation of Sound Sources in the Auditory Scene
Noninvasive EEG (electroencephalography) based auditory attention detection could be useful for improved hearing aids in the future. This work is a novel attempt to investigate the feasibility of online modulation of sou…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding
Recently, there is increasing interest and research on the interpretability of machine learning models, for example how they transform and internally represent EEG signals in Brain-Computer Interface (BCI) applications. …
Brain Computer InterfaceEEGEeg DecodingElectroencephalogram (EEG)+2Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
An electroencephalography (EEG) based Brain Computer Interface (BCI) enables people to communicate with the outside world by interpreting the EEG signals of their brains to interact with devices such as wheelchairs and i…
Brain Computer InterfaceEEGElectroencephalogram (EEG)General Classification+1Ensemble Classifier for Eye State Classification using EEG Signals
The growing importance and utilization of measuring brain waves (e.g. EEG signals of eye state) in brain-computer interface (BCI) applications highlighted the need for suitable classification methods. In this paper, a co…
Brain Computer InterfaceClassificationEEGElectroencephalogram (EEG)+1Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest
Reinforcement Learning AI commonly uses reward/penalty signals that are objective and explicit in an environment -- e.g. game score, completion time, etc. -- in order to learn the optimal strategy for task performance. H…
AI AgentBrain Computer InterfaceDeep Reinforcement Learningreinforcement-learning+2Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks
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 concern…
Brain Computer InterfaceGeneral ClassificationActing Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills
As autonomous service robots become more affordable and thus available also for the general public, there is a growing need for user friendly interfaces to control the robotic system. Currently available control modaliti…
Brain Computer InterfaceTask PlanningEEG-Based User Reaction Time Estimation Using Riemannian Geometry Features
Riemannian geometry has been successfully used in many brain-computer interface (BCI) classification problems and demonstrated superior performance. In this paper, for the first time, it is applied to BCI regression prob…
Brain Computer InterfaceEEGElectroencephalogram (EEG)regressionUser-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is proposed on the basis of multimodal augme…
Brain Computer InterfaceReconfiguring motor circuits for a joint manual and BCI task
Designing brain-computer interfaces (BCIs) that can be used in conjunction with ongoing motor behavior requires an understanding of how neural activity co-opted for brain control interacts with existing neural circuits. …
Brain Computer InterfaceCloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life…
Brain Computer InterfaceCloud ComputingDimensionality ReductionEEG+3Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)
Electroencephalogram (EEG) signals are frequently used in brain-computer interfaces (BCIs), but they are easily contaminated by artifacts and noises, so preprocessing must be done before they are fed into a machine learn…
Brain Computer InterfaceClassificationEEGElectroencephalogram (EEG)+2Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization
Electroencephalography (EEG) headsets are the most commonly used sensing devices for Brain-Computer Interface. In real-world applications, there are advantages to extrapolating data from one user session to another. Howe…
Active LearningBrain Computer InterfaceClassificationEEG+3Online and Offline Domain Adaptation for Reducing BCI Calibration Effort
Many real-world brain-computer interface (BCI) applications rely on single-trial classification of event-related potentials (ERPs) in EEG signals. However, because different subjects have different neural responses to ev…
Brain Computer InterfaceDomain AdaptationEEGElectroencephalogram (EEG)+1Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees
Objective: Using traditional approaches, a Brain-Computer Interface (BCI) requires the collection of calibration data for new subjects prior to online use. Calibration time can be reduced or eliminated e.g.~by transfer o…
Brain Computer InterfaceDecoderERPGeneral ClassificationBayesian Nonparametric Models for Synchronous Brain-Computer Interfaces
A brain-computer interface (BCI) is a system that aims for establishing a non-muscular communication path for subjects who had suffer from a neurodegenerative disease. Many BCI systems make use of the phenomena of event-…
Brain Computer InterfaceEEGElectroencephalogram (EEG)General ClassificationVisual Motion Onset Brain-computer Interface
The paper presents a study of two novel visual motion onset stimulus-based brain-computer interfaces (vmoBCI). Two settings are compared with afferent and efferent to a computer screen center motion patterns. Online vmoB…
Brain Computer InterfaceClassificationEEGElectroencephalogram (EEG)+1Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference
Recent advances in biosensors technology and mobile electroencephalographic (EEG) interfaces have opened new application fields for cognitive monitoring. A computable biomarker for the assessment of spontaneous aesthetic…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Music Recommendation+1A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes
We investigated the possibility of using a machine-learning scheme in conjunction with commercial wearable EEG-devices for translating listener's subjective experience of music into scores that can be used for the automa…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Feature EngineeringKullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification
A brain computer interface (BCI) is a system which provides direct communication between the mind of a person and the outside world by using only brain activity (EEG). The event-related potential (ERP)-based BCI problem …
Brain Computer InterfaceEEGElectroencephalogram (EEG)ERP+2