Papers Brain Computer Interface
“Brain Computer Interface” 태그가 달린 논문 466편 · 필터 해제
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning
Adaptive interfaces can help users perform sequential decision-making tasks like robotic teleoperation given noisy, high-dimensional command signals (e.g., from a brain-computer interface). Recent advances in human-in-th…
Brain Computer InterfaceDecision Makingreinforcement-learningReinforcement Learning+1Pseudo-online framework for BCI evaluation: A MOABB perspective
Objective: BCI (Brain-Computer Interface) technology operates in three modes: online, offline, and pseudo-online. In the online mode, real-time EEG data is constantly analyzed. In offline mode, the signal is acquired and…
Brain Computer InterfaceEEGMotor ImageryAdvancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
Brain-computer interface (BCI) technology enables direct communication between the brain and external devices, allowing individuals to control their environment using brain signals. However, existing BCI approaches face …
Brain Computer InterfaceComputational EfficiencyEEGAggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Insufficient data is a long-standing challenge for Brain-Computer Interface (BCI) to build a high-performance deep learning model. Though numerous research groups and institutes collect a multitude of EEG datasets for th…
Brain Computer InterfaceEEGEeg DecodingFederated Learning+2A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition
Brain-Computer Interface (BCI) initially gained attention for developing applications that aid physically impaired individuals. Recently, the idea of integrating BCI with Augmented Reality (AR) emerged, which uses BCI no…
Brain Computer InterfaceSSVEPDeep Learning Architecture for Motor Imaged Words
The notion of a Brain-Computer Interface system is the acquisition of signals from the brain, processing them, and translating them into commands. The study concentrated on a specific sort of brain signal known as Motor …
Brain Computer InterfaceDeep LearningDenoisingDimensionality Reduction+2SSVEP-Based BCI Wheelchair Control System
A brain-computer interface (BCI) is a system that allows a person to communicate or control the surroundings without depending on the brain's normal output pathways of peripheral nerves and muscles. A lot of successful a…
Brain Computer InterfaceEEGSSVEPUniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our understanding of the human language system, paving the way for building versatile Brain-Computer Interface. However, existing studies largely focus on…
Brain Computer InterfaceBrain DecodingDecoderEEG+3BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing
Wearable biosignal processing applications are driving significant progress toward miniaturized, energy-efficient Internet-of-Things solutions for both clinical and consumer applications. However, scaling toward high-den…
Brain Computer InterfaceSSVEPUMM: Unsupervised Mean-difference Maximization
Many brain-computer interfaces make use of brain signals that are elicited in response to a visual, auditory or tactile stimulus, so-called event-related potentials (ERPs). In visual ERP speller applications, sets of let…
Brain Computer InterfaceERPEEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
Brain-Machine Interfacing (BMI) has greatly benefited from adopting machine learning methods for feature learning that require extensive data for training, which are often unavailable from a single dataset. Yet, it is di…
Brain Computer InterfaceDomain AdaptationEEGEeg Decoding+2Decoding Brain Motor Imagery with various Machine Learning techniques
Motor imagery (MI) is a well-documented technique used by subjects in BCI (Brain Computer Interface) experiments to modulate brain activity within the motor cortex and surrounding areas of the brain. In our term project,…
Brain Computer InterfaceDecoderMotor ImageryThe feasibility of combining communication BCIs with FES for individuals with locked-in syndrome
Individuals with a locked-in state live with severe whole-body paralysis that limits their ability to communicate with family and loved ones. Recent advances in the brain-computer interface (BCI) technology have presente…
Brain Computer InterfaceSource-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
This paper presents a source free domain adaptation method for steady-state visually evoked potentials (SSVEP) based brain-computer interface (BCI) spellers. SSVEP-based BCI spellers assist individuals experiencing speec…
Brain Computer InterfaceDomain AdaptationPseudo LabelSource-Free Domain Adaptation+1SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
In minimally-invasive brain surgeries with indirect and narrow operating environments, 3D brain reconstruction is crucial. However, as requirements of accuracy for some new minimally-invasive surgeries (such as brain-com…
3D ReconstructionBrain Computer InterfaceGenerative Adversarial NetworkSequential Best-Arm Identification with Application to Brain-Computer Interface
A brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device or computer system. It allows individuals to interact with the device using only their thoughts,…
Brain Computer InterfaceEEGElectroencephalogram (EEG)ERP+2Hyper-automation-The next peripheral for automation in IT industries
The extension of legacy business process automation beyond the bounds of specific processes is known as hyperautomation. Hyperautomation provides automation for nearly any repetitive action performed by business users by…
Brain Computer InterfaceComparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visual Evoked Potential Brain-Computer Interface
Brain-computer interfaces (BCI) have the potential to improve the quality of life for persons with paralysis. Sub-scalp EEG provides an alternative BCI signal acquisition method that compromises between the limitations o…
Brain Computer InterfaceEEGTime delay multi-feature correlation analysis to extract subtle dependencies from EEG signals
Electroencephalography (EEG) signals are resultants of extremely complex brain activity. Some details of this hidden dynamics might be accessible through e.g. joint distributions $\rho_{\Delta t}$ of signals of pairs of …
Brain Computer InterfaceDimensionality ReductionEEGFeature CorrelationDecoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts
There exist very few ways to isolate cognitive processes, historically defined via highly controlled laboratory studies, in more ecologically valid contexts. Specifically, it remains unclear as to what extent patterns of…
Brain Computer InterfaceDomain Generalizationvalid