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• Activation of a mobile robot through a brain computer interface
  This work presents the development of a brain computer interface as an alternative communication channel to be used in Robotics. It encompasses the implementation of an electroencephalograph (EEG), as well as the development of all computational methods and ne…
  openalex Alexandre Barbosa, David Achanccaray, Marco Antônio Meggiolaro 2010-05-01 置信度 0.72 Brain–computer interfaceComputer scienceMobile robotInterface (matter)Artificial intelligence
• Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface
  Although brain-computer interface (BCI) techniques have been developing quickly in recent decades, there still exist a number of unsolved problems, such as improvement of motor imagery (MI) signal classification. In this paper, we propose a hybrid algorithm to…
  openalex Siuly Siuly, Yan Li 2012-01-23 置信度 0.72 Support vector machinePattern recognition (psychology)Classifier (UML)Artificial intelligenceBrain–computer interface
• Self-Paced Operation of a Wheelchair Based on a Hybrid Brain-Computer Interface Combining Motor Imagery and P300 Potential
  This paper presents a hybrid brain-computer interface (BCI) that combines motor imagery (MI) and P300 potential for the asynchronous operation of a brain-controlled wheelchair whose design is based on a Mecanum wheel. This paradigm is completely user-centric. …
  openalex Yang Yu, Zongtan Zhou, Yadong Liu, Jun Jiang 等 2017-11-02 置信度 0.72 Brain–computer interfaceWheelchairMotor imageryInterface (matter)Computer science
• An SSVEP-Actuated Brain Computer Interface Using Phase-Tagged Flickering Sequences: A Cursor System
  openalex Po‐Lei Lee, Jyun-Jie Sie, Yu-Ju Liu, Chi-Hsun Wu 等 2010-02-22 置信度 0.72 FlickerBrain–computer interfaceElectroencephalographyComputer scienceComputer vision
• Brain Computer Interface Design Using Band Powers Extracted During Mental Tasks
  In this paper, a brain computer interface (BCI) is designed using electroencephalogram (EEG) signals where the subjects have to think of only a single mental task. The method uses spectral power and power difference in 4 bands: delta and theta, beta, alpha and…
  openalex Ramaswamy Palaniappan 2005-04-19 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyClassifier (UML)Speech recognition
• Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
  openalex Arunabha M. Roy 2022-08-30 置信度 0.72 Computer scienceBrain–computer interfaceTransfer of learningConvolutional neural networkArtificial intelligence
• Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design
  A common method for designing brain-computer Interface (BCI) is to use electroencephalogram (EEG) signals extracted during mental tasks. In these BCI designs, features from EEG such as power and asymmetry ratios from delta, theta, alpha, and beta bands have be…
  openalex Ramaswamy Palaniappan 2006-09-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceArtificial intelligenceFeature extraction
• Brain-computer interfaces (BCIs) for communication and control
  No abstract available.
  openalex Jonathan R. Wolpaw 2007-10-15 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionControl (management)Electroencephalography
• The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain–Computer Interfaces
  A relevant issue in a brain-computer interface (BCI) is the capability to efficiently convert user intentions into correct actions, and how to properly measure this efficiency. Usually, the evaluation of a BCI system is approached through the quantification of…
  openalex Bernardo Dal Seno, Matteo Matteucci, Luca Mainardi 2009-09-24 置信度 0.72 Brain–computer interfaceComputer scienceClassifier (UML)ComputationMetric (unit)
• Long-Term Independent Brain-Computer Interface Home Use Improves Quality of Life of a Patient in the Locked-In State: A Case Study
  openalex Elisa Mira Holz, Loïc Botrel, Tobias Kaufmann, Andrea Kübler 2015-02-23 置信度 0.72 Brain–computer interfaceSession (web analytics)UsabilityInterface (matter)Quality of life (healthcare)
• EEG and MEG brain-computer interface for tetraplegic patients
  We characterized features of magnetoencephalographic (MEG) and electroencephalographic (EEG) signals generated in the sensorimotor cortex of three tetraplegics attempting index finger movements. Single MEG and EEG trials were classified offline into two classe…
  openalex Laura Kauhanen, Tommi Nykopp, Janne Lehtonen, Pasi Jylänki 等 2006-06-01 置信度 0.72 MagnetoencephalographyElectroencephalographyBrain–computer interfaceClassifier (UML)Pattern recognition (psychology)
• Effects of training and motivation on auditory P300 brain–computer interface performance
  openalex Ebru Baykara, Carolin A. Ruf, Chiara Fioravanti, Ivo Käthner 等 2015-04-17 置信度 0.72 Brain–computer interfaceHeadsetGazePsychologySession (web analytics)
• Thinking Penguin: Multimodal Brain–Computer Interface Control of a VR Game
  In this paper, we describe a multimodal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mount…
  openalex Robert Leeb, Marcel Lancelle, Vera Kaiser, Dieter W. Fellner 等 2013-01-23 置信度 0.72 Brain–computer interfaceComputer scienceJoystickTask (project management)Virtual reality
• EEG-Based Brain-Computer Interface for Tetraplegics
  Movement-disabled persons typically require a long practice time to learn how to use a brain-computer interface (BCI). Our aim was to develop a BCI which tetraplegic subjects could control only in 30 minutes. Six such subjects (level of injury C4-C5) operated …
  openalex Laura Kauhanen, Pasi Jylänki, Janne Lehtonen, Pekka Rantanen 等 2007-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographySensorimotor rhythmMotor imageryPhysical medicine and rehabilitation
• Inducing a virtual hand ownership illusion through a brain–computer interface
  The apparently stable brain representation of our bodies is easily challenged. We have recently shown that the illusion of ownership of a three-dimensional virtual hand can be evoked through synchronous tactile stimulation of a person's hidden real hand and th…
  openalex Daniel Pérez-Marcos, Mel Slater, María V. Sánchez-Vives 2009-04-22 置信度 0.72 IllusionMotor imageryVirtual realityBrain–computer interfaceComputer science
• Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface
  The motor imagery-based brain-computer interface (BCI) using electroencephalography (EEG) has been receiving attention from neural engineering researchers and is being applied to various rehabilitation applications. However, the performance degradation caused …
  openalex Hyeon Kyu Lee, Young-Seok Choi 2019-12-05 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceConvolutional neural networkElectroencephalography
• A closed-loop, music-based brain-computer interface for emotion mediation
  Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function.We propose a non-invasive brain-computer interface (BCI) system to feedback a person's aff…
  openalex Stefan K. Ehrlich, Kat Agres, Cuntai Guan, Gordon Cheng 2019-03-18 置信度 0.72 Brain–computer interfaceMediationInterface (matter)Affective computingComputer science
• IoT in Brain-Computer Interfaces for Enabling Communication and Control for the Disabled
  The proposed system integrates Internet of Things (IoT) technologies with Brain-computer interfaces to improve disability-related communication and control. BCIs may directly communicate between the brain and external equipment, providing a lifeline for person…
  openalex S. Rajarajan, T. Kowsalya, Nukala Sujata Gupta, P M Suresh 等 2024-04-12 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionControl (management)Neuroscience
• Brain–computer interface using water-based electrodes
  Current brain-computer interfaces (BCIs) that make use of EEG acquisition techniques require unpleasant electrode gel causing skin abrasion during the standard preparation procedure. Electrodes that require tap water instead of electrolytic electrode gel would…
  openalex Ivan Volosyak, Diana Valbuena, Tatsiana Malechka, Jan Peuscher 等 2010-11-03 置信度 0.72 Brain–computer interfaceElectroencephalographyElectrodeComputer scienceInterface (matter)
• Neuropsychological and neurophysiological aspects of brain‐computer‐interface (BCI) control in paralysis
  Brain-computer interfaces (BCIs) aim to help paralysed patients to interact with their environment by controlling external devices using brain activity, thereby bypassing the dysfunctional motor system. Some neuronal disorders, such as amyotrophic lateral scle…
  openalex Ujwal Chaudhary, Natalie Mrachacz‐Kersting, Niels Birbaumer 2020-02-11 置信度 0.72 Brain–computer interfaceNeurophysiologyNeuropsychologyParalysisNeuroscience
• Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex
  Brain-computer interfaces (BCIs) provide a defined link between neural activity and devices, allowing a detailed study of the neural adaptive responses generating behavioral output. We trained monkeys to perform two-dimensional center-out movements of a comput…
  openalex Steven M. Chase, Robert E. Kass, Andrew B. Schwartz 2012-04-12 置信度 0.72 Brain–computer interfacePopulationComputer scienceNeuroscienceAdaptation (eye)
• The advantages of the surface Laplacian in brain–computer interface research
  openalex Dennis J. McFarland 2014-08-01 置信度 0.72 Brain–computer interfaceOrthogonalityComputer scienceLaplace operatorSIGNAL (programming language)
• User-centered design in brain–computer interfaces—A case study
  OBJECTIVE: The array of available brain-computer interface (BCI) paradigms has continued to grow, and so has the corresponding set of machine learning methods which are at the core of BCI systems. The latter have evolved to provide more robust data analysis so…
  openalex Martijn Schreuder, Angela Riccio, Monica Risetti, Sven Dähne 等 2013-09-13 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionSet (abstract data type)Process (computing)
• Z-Score Linear Discriminant Analysis for EEG Based Brain-Computer Interfaces
  Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not…
  openalex Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang 等 2013-09-13 置信度 0.72 Linear discriminant analysisHeteroscedasticityArtificial intelligencePattern recognition (psychology)Decision boundary
• CWT Based Transfer Learning for Motor Imagery Classification for Brain computer Interfaces
  openalex Piyush Kant, Shahedul Haque Laskar, Jupitara Hazarika, Rupesh Mahamune 2020-07-27 置信度 0.72 Brain–computer interfaceComputer scienceArtificial intelligenceTransfer of learningMotor imagery
• Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
  openalex Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan 2020-09-17 置信度 0.72 Computer scienceDimensionality reductionPattern recognition (psychology)Principal component analysisBrain–computer interface
• FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
  Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received significan…
  openalex Youngchul Kwak, Woo‐Jin Song, Seong‐Eun Kim 2022-01-01 置信度 0.72 ElectroencephalographyBrain–computer interfaceComputer scienceFunctional near-infrared spectroscopyArtificial intelligence
• Wearable Brain–Computer Interface Instrumentation for Robot-Based Rehabilitation by Augmented Reality
  An instrument for remote control of the robot by wearable brain-computer interface (BCI) is proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD). Augmented reality (AR) glasses generate flickering stimuli, and a single-chan…
  openalex Pasquale Arpaïa, Luigi Duraccio, Nicola Moccaldi, Silvia Rossi 2020-01-31 置信度 0.72 Brain–computer interfaceWearable computerRobotRehabilitationComputer science
• Free-paced high-performance brain–computer interfaces
  Neural prostheses aim to improve the quality of life of severely disabled patients by translating neural activity into control signals for guiding prosthetic devices or computer cursors. We recently demonstrated that plan activity from premotor cortex, which s…
  openalex Neil Achtman, Afsheen Afshar, Gopal Santhanam, Byron M. Yu 等 2007-08-22 置信度 0.72 Computer scienceBrain–computer interfacePlan (archaeology)Brain activity and meditationInterface (matter)
• A randomized controlled trial of a brain-computer interface based attention training program for ADHD
  OBJECTIVE: The use of brain-computer interface in neurofeedback therapy for attention deficit hyperactivity disorder (ADHD) is a relatively new approach. We conducted a randomized controlled trial (RCT) to determine whether an 8-week brain computer interface (…
  openalex Choon Guan Lim, Xue Wei Wendy Poh, Shuen Sheng Daniel Fung, Cuntai Guan 等 2019-05-21 置信度 0.72 Randomized controlled trialMedicineAttention deficit hyperactivity disorderNeurofeedbackPhysical therapy
• RETRACTED: A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
  Abstract Objective. Brain-computer interface (BCI) aims to establish communication paths between the brain processes and external devices. Different methods have been used to extract human intentions from electroencephalography (EEG) recordings. Those based on…
  openalex F. Mattioli, Camillo Porcaro, Gianluca Baldassarre 2021-12-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyMotor imageryTransfer of learning
• Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state
  This paper describes a case study with a patient in the classic locked-in state, who currently has no means of independent communication. Following a user-centered approach, we investigated event-related potentials (ERP) elicited in different modalities for us…
  openalex Tobias Kaufmann, Elisa Mira Holz, Andrea Kübler 2013-01-01 置信度 0.72 Brain–computer interfaceModality (human–computer interaction)ModalitiesComputer scienceStimulus modality
• Real-time brain-computer interfacing: A preliminary study using Bayesian learning
  openalex Stephen Roberts, W.D. Penny 2000-01-01 置信度 0.72 InterfacingComputer scienceBrain–computer interfaceSmoothingBayesian probability
• Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury
  Brain computer interfaces (BCIs) are devices that measure brain activities and translate them into control signals used for a variety of applications. Among them are systems for communication, environmental control, neuroprostheses, exoskeletons, or restorativ…
  openalex RÃ ⁄ diger Rupp 2014-09-24 置信度 0.72 Brain–computer interfaceExoskeletonSpinal cord injuryPhysical medicine and rehabilitationMedicine
• EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb
  Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The subserving algorithms can be used to provide a quantitative measurement of physiological or pathological …
  openalex Febo Cincotti, Floriana Pichiorri, Pietro Aricò, Fabio Aloise 等 2012-08-01 置信度 0.72 RehabilitationMotor imageryBrain–computer interfaceNeurofeedbackPhysical medicine and rehabilitation
• Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates
  openalex Anatoly N. Vasilyev, С.П. Либуркина, Lev Yakovlev, Olga Perepelkina 等 2017-02-04 置信度 0.72 Motor imageryBrain–computer interfacePsychologyElectroencephalographyTranscranial magnetic stimulation
• Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?
  Electroencephalography (EEG) allows the study of the brain-behavior relationship in humans. Most of what we have learned with EEG was through observing the brain-behavior relationship under well-controlled laboratory conditions. However, by reducing "normal" b…
  openalex Martin G. Bleichner, Micha Lundbeck, Matthias Selisky, Falk Minow 等 2015-04-01 置信度 0.72 ElectroencephalographyEEG-fMRIBrain–computer interfaceComputer scienceRobustness (evolution)
• Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application
  In this study, we determine the optimal feature-combination for classification of functional near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two-class brain-computer interface (BCI). Using a multi-channel continuous-wav…
  openalex Noman Naseer, Farzan Majeed Noori, Nauman Khalid Qureshi, Keum‐Shik Hong 2016-05-24 置信度 0.72 Feature (linguistics)Interface (matter)Pattern recognition (psychology)Artificial intelligenceComputer science
• An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
  This paper presents an accurate and robust embedded motor-imagery brain–computer interface (MI-BCI). The proposed novel model, based on EEGNet [1], matches the requirements of memory footprint and computational resources of low-power microcontroller units (MCU…
  openalex Xiaying Wang, Michael Hersche, Batuhan Tömekçe, Burak Kaya 等 2020-06-01 置信度 0.72 Brain–computer interfaceComputer scienceUpsamplingMemory footprintConvolutional neural network
• Immediate brain plasticity after one hour of brain–computer interface (BCI)
  KEY POINTS: Two groups of inexperienced brain-computer interface users underwent a purely mental EEG-BCI session that rapidly impacted on their brain. Modulations in structural and functional MRI were found after only 1 h of BCI training. Two different types o…
  openalex Till Nierhaus, Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller 等 2019-11-06 置信度 0.72 Brain–computer interfaceInterface (matter)NeuroplasticityComputer scienceNeuroscience
• Critical Decision-Speed and Information Transfer in the “Graz Brain–Computer Interface”
  openalex Gunther Krausz, Reinhold Scherer, G. Korisek, G. Pfurtscheller 2003-09-01 置信度 0.72 Brain–computer interfaceElectroencephalographyMotor imageryComputer sciencePsychology
• EEG Based Brain Computer Interface for Controlling a Robot Arm Movement Through Thought
  openalex Rihab Bousseta, Issam El Ouakouak, Mourad Gharbi, Fakhita Regragui 2018-02-14 置信度 0.72 Brain–computer interfaceRobotic armElectroencephalographyComputer scienceArtificial intelligence
• Dual-frequency steady-state visual evoked potential for brain computer interface
  openalex Kuo‐Kai Shyu, Po‐Lei Lee, Yu-Ju Liu, Jyun-Jie Sie 2010-07-23 置信度 0.72 Brain–computer interfaceEvoked potentialInterface (matter)Dual (grammatical number)Stimulation
• Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention
  BACKGROUND: Visual brain-computer interfaces (BCIs) often yield high performance only when targets are fixated with the eyes. Furthermore, many paradigms use intense visual stimulation, which can be irritating especially in long BCI sessions. However, BCIs can…
  openalex Matthias S. Treder, Ali Bahramisharif, Nico M. Schmidt, Marcel van Gerven 等 2011-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyCovertGazePsychology
• Shared control of a robotic arm using non-invasive brain–computer interface and computer vision guidance
  openalex Xu Yang, Cheng Ding, Xiaokang Shu, Kai Gui 等 2019-02-25 置信度 0.72 Brain–computer interfaceGRASPComputer scienceRobotic armInterface (matter)
• An online brain–computer interface using non-flashing visual evoked potentials
  Not until recently have motion-onset visual evoked potentials (mVEPs) been explored as a modality for brain-computer interface (BCI) applications. In this study, the first online BCI system based on mVEPs is presented, in which selection is discerned by subjec…
  openalex Tao Liu, Leslie Ann Goldberg, Shangkai Gao, Bo Hong 2010-04-19 置信度 0.72 Brain–computer interfaceComputer scienceCursor (databases)Interface (matter)Modality (human–computer interaction)
• Amplitude and phase coupling measures for feature extraction in an EEG-based brain–computer interface
  Most of the feature extraction methods in existing brain-computer interfaces (BCIs) are based on the dynamic behavior of separate signals, without using the coupling information between different brain regions. In this paper, amplitude and phase coupling measu…
  openalex Qingguo Wei, Yijun Wang, Xiaorong Gao, Shangkai Gao 2007-03-28 置信度 0.72 Brain–computer interfaceFeature extractionPattern recognition (psychology)ElectroencephalographyFeature (linguistics)
• Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm
  Recent advances in robotics, neuroscience, and signal processing make it possible to operate a robot through electroencephalography (EEG)-based brain-computer interface (BCI). Although some successful attempts have been made in recent years, the practicality o…
  openalex Xiaogang Chen, Xiaoshan Huang, Yijun Wang, Xiaorong Gao 2020-11-16 置信度 0.72 Brain–computer interfaceRobotic armComputer scienceInterface (matter)Workspace
• Advancements in Small-Object Detection (2023–2025): Approaches, Datasets, Benchmarks, Applications, and Practical Guidance
  Small-object detection (SOD) remains an important and growing challenge in computer vision and is the backbone of many applications, including autonomous vehicles, aerial surveillance, medical imaging, and industrial quality control. Small objects, in pixels, …
  openalex Ali Aldubaikhi, Sarosh Patel 2025-11-07 置信度 0.72 Computer scienceRobustness (evolution)Software deploymentData scienceArtificial intelligence
• Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
  Abstract The Gravity Recovery and Climate Experiment (GRACE) satellite mission and its follow‐on, GRACE‐FO, have provided unprecedented opportunities to quantify the impact of climate extremes and human activities on total water storage at large scales. The ∼1…
  openalex Alexander Y. Sun, Bridget R. Scanlon, Himanshu Save, Ashraf Rateb 2020-12-15 置信度 0.72 WorkflowHyperparameterMachine learningArtificial intelligenceComputer science
• Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
  With the development of robotics technology, there is a growing demand for robots to perform path planning autonomously. Therefore, rapidly and safely planning travel routes has become an important research direction for autonomous mobile robots. This paper el…
  openalex Yuexia Tang, Muhammad Aizzat Zakaria, Muhammad Younas 2025-02-16 置信度 0.72 Motion planningMobile robotPath (computing)RoboticsComputer science
• Active Inference in Robotics and Artificial Agents: Survey and Challenges
  Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning. Recently, it has been shown to be a promising approach to the problems of state-estimation and …
  openalex Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera 等 2021-12-03 置信度 0.72 Artificial intelligenceInferenceRoboticsComputer scienceMachine learning
• Motion Trajectory Estimation for Hand Grasping States Using a Deep Learning Approach
  Predicting the final grasp tendency at the start of movement in prosthetic hands is crucial for improved control. Biological data, such as 3D movement and muscle activity, have been using by researchers to predict the final grasp. Early prediction of the inten…
  openalex Erdem Erdemir, Erkan Kaplanoğlu, Cihan Uyanik, Gazi Akgün 2025-05-27 置信度 0.72 TrajectoryArtificial intelligenceMotion (physics)Computer scienceDeep learning
• Human-artificial interaction in the age of agentic AI: a system-theoretical approach
  This paper presents a novel perspective on human-computer interaction (HCI), framing it as a dynamic interplay between human and computational agents within a networked system. Going beyond traditional interface-based approaches, we emphasize the importance of…
  openalex Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi 2025-05-09 置信度 0.72 Cognitive sciencePsychologyComputer scienceArtificial intelligence
• Interface-type tunable oxygen ion dynamics for physical reservoir computing
  Abstract Reservoir computing can more efficiently be used to solve time-dependent tasks than conventional feedforward network owing to various advantages, such as easy training and low hardware overhead. Physical reservoirs that contain intrinsic nonlinear dyn…
  openalex Zhuohui Liu, Qinghua Zhang, Donggang Xie, Mingzhen Zhang 等 2023-11-07 置信度 0.72 Interface (matter)Computer scienceOxygenIonDynamics (music)
• Validation of system usability scale as a usability metric to evaluate voice user interfaces
  In recent years, user experience (UX) has gained importance in the field of interactive systems. To ensure its success, interactive systems must be evaluated. As most of the standardized evaluation tools are dedicated to graphical user interfaces (GUIs), the e…
  openalex Akshay Madhav Deshmukh, Ricardo Chalmeta 2024-02-29 置信度 0.72 UsabilityComputer scienceHuman–computer interactionMetric (unit)User interface
• Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
  As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristors in various aspects. The concept and s…
  openalex Zhipeng Xia, Xiao Wei Sun, Zhenlong Wang, Jialin Meng 等 2025-04-14 置信度 0.72 MemristorNeuromorphic engineeringComputer scienceElectronic engineeringResistive random-access memory
• Insight into the Digital Health System of Ukraine (eHealth): Trends, Definitions, Standards, and Legislative Revisions
  Purpose: This article aims to provide an in-depth examination of the digital health system of Ukraine, focusing on the emerging trends, precise definitions, established standards, and recent legislative revisions that shape the practice and implementation of e…
  openalex Kyrylo Malakhov 2023-12-12 置信度 0.72 TelemedicineeHealthDigital healthInteroperabilityHealth care
• Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook
  Machine learning (ML) has emerged as a powerful tool in the research field of high entropy compounds (HECs), which have gained worldwide attention due to their vast compositional space and abundant regulatability. However, the complex structure space of HEC po…
  openalex Xuhao Wan, Zeyuan Li, Wei Yu, Anyang Wang 等 2023-09-09 置信度 0.72 Materials scienceNanotechnologyEngineering physicsEntropy (arrow of time)Systems engineering
• Decomposition based neural dynamics for portfolio management with tradeoffs of risks and profits under transaction costs
  Real-time online optimisation plays a crucial role in high-frequency trading (HFT) strategies. The Markowitz model, as a Nobel Prize-winning framework, is widely used for portfolio management optimisation by framing the problem as a constrained quadratic progr…
  openalex Xinwei Cao, Junchao Lou, Bolin Liao, Peng Chen 等 2024-12-28 置信度 0.72 Computer scienceMathematical optimizationSolverPortfolio optimizationPortfolio
• Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions
  Artificial intelligence (AI) drives transformative changes in orthopedic surgery, steering it toward precision and personalization through intelligent applications in preoperative planning, intraoperative assistance, and postoperative rehabilitation/monitoring…
  openalex Fei Han, Xiao Huang, Xin Wang, Yuyu Chen 等 2025-06-25 置信度 0.72 Orthopedic surgeryCurrent (fluid)MedicineMedical physicsEngineering
• A Gravity-Compensated Upper-Limb Exoskeleton for Functional Rehabilitation of the Shoulder Complex
  In the last decade, several exoskeletons for shoulder rehabilitation have been presented in the literature. Most of these devices focus on the shoulder complex and limit the normal mobility of the rest of the body, forcing the patient into a fixed standing or …
  openalex Stefano Buccelli, Federico Tessari, Fausto Fanin, Luca De Guglielmo 等 2022-03-25 置信度 0.72 ExoskeletonWorkspaceRehabilitationPhysical medicine and rehabilitationActivities of daily living
• A lightweight prosthetic hand with 19-DOF dexterity and human-level functions
  A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. He…
  openalex Hao Yang, Zhe Tao, Jian Yang, Wenpeng Ma 等 2025-01-22 置信度 0.72 Computer sciencePhysical medicine and rehabilitationMedicine
• Multimodal Data Fusion for Depression Detection Approach
  Depression is one of the most common mental health disorders in the world, affecting millions of people. Early detection of depression is crucial for effective medical intervention. Multimodal networks can greatly assist in the detection of depression, especia…
  openalex Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova 2025-01-02 置信度 0.72 Depression (economics)Sensor fusionComputer scienceArtificial intelligencePsychology
• Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
  Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing mitigates inherent inefficiencies assoc…
  openalex Yongmin Baek, Byungjoon Bae, Hyo‐Jin Shin, Charana Sonnadara 等 2025-10-01 置信度 0.72 Computer scienceApplications of artificial intelligenceTree traversalEdge computingPerspective (graphical)
• Chalcogenide Ovonic Threshold Switching Selector
  Today's explosion of data urgently requires memory technologies capable of storing large volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane, commonly referred to as three-dimensional phase change memory, stands out as …
  openalex Zihao Zhao, Sergiu Clima, Daniele Garbin, R. Degraeve 等 2024-01-11 置信度 0.72 ChalcogenideMaterials scienceOptoelectronicsChalcogenide glass
• Recent Progress in Tactile Sensing and Machine Learning for Texture Perception in Humanoid Robotics
  ABSTRACT Humanoid robots have garnered substantial attention recently in both academia and industry. These robots are becoming increasingly sophisticated and intelligent, as seen in health care, education, customer service, logistics, security, space explorati…
  openalex Longteng Yu, Dabiao Liu 2024-12-30 置信度 0.72 Humanoid robotTactile perceptionArtificial intelligencePerceptionHuman–computer interaction
• Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling
  Introduction: This study aimed to quantify shoulder muscle synergies during badminton forehand overhead smash (BFOS) via non-negative matrix factorization (NMF), validate musculoskeletal (MSK) models for high-speed movements by comparing electromyography (EMG)…
  openalex Raheleh Tajik, Wissem Dhahbi, Hamed Fadaei, Raghad Mimar 2025-06-03 置信度 0.72 ElectromyographyPhysical medicine and rehabilitationOverhead (engineering)Computer scienceMedicine
• Bio‐Inspired Artificial Fast‐Adaptive and Slow‐Adaptive Mechanoreceptors With Synapse‐Like Functions
  Abstract Development of artificial mechanoreceptors capable of sensing and pre‐processing external mechanical stimuli is a crucial step toward constructing neuromorphic perception systems that can learn and store information. Here, bio‐inspired artificial fast…
  openalex Hung Quang Huynh, Tran Quang Trung, Atanu Bag, T. T. Dieu 等 2023-07-02 置信度 0.72 Neuromorphic engineeringMaterials scienceSynapseTactile sensorPiezoelectricity
• Unmanned aerial vehicle based multi-person detection via deep neural network models
  Introduction: Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes more challenging as the task presents …
  openalex Mohammed Alshehri, Laiba Zahoor, Yahya Alqahtani, Abdulmonem Alshahrani 等 2025-04-17 置信度 0.72 Computer scienceArtificial intelligenceArtificial neural networkDeep learningDeep neural networks
• Securing Neural Interfaces: Architecture, Threat Taxonomy, and Neural Impact Scoring for Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) are transitioning from experimental neuroscience tools to commercially deployed medical devices, with companies including Neuralink, Synchron, Blackrock Neurotech, and Paradromics advancing toward regulatory approval and new en…
  datacite Qi, Kevin L. 2026 置信度 0.66 brain-computer interfacecybersecurityCVSSneural interfacethreat taxonomy
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.66
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum
  VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operato…
  datacite Kulik, Dean 2026 置信度 0.66
• VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum
  VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operato…
  datacite Kulik, Dean 2026 置信度 0.66
• The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics
  The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics 1. Introduction: The Isomorphic Imperative in the Nile Valley The prevailing historiography of Ancient Egypt has long suffered from a persis…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics
  The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics 1. Introduction: The Isomorphic Imperative in the Nile Valley The prevailing historiography of Ancient Egypt has long suffered from a persis…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
  Due to the significant variability in electroencephalo-gram (EEG) signals across individuals, knowledge acquired from previous subjects is often overwritten as new subjects are introduced in continual EEG decoding tasks. Existing methods mainly rely on storing…
  datacite Li, Dan, Shin, Hye-Bin, Choi, Yeon-Woo 2025 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Mohgix Institute Strategy 2026: The Year of Certainty
  This document serves as the official strategic mandate for The Mohgix Institute for the 2026 cycle. It formally announces the Great Bifurcation of the professional services industry, declaring the end of the traditional Consultant model and the rise of the Str…
  datacite Idoniwako, Muhammad 2025 置信度 0.66 Strategic CounselArtificial IntelligenceCorporate StrategyGreat BifurcationClarity Tax
• Mohgix Institute Strategy 2026: The Year of Certainty
  This document serves as the official strategic mandate for The Mohgix Institute for the 2026 cycle. It formally announces the Great Bifurcation of the professional services industry, declaring the end of the traditional Consultant model and the rise of the Str…
  datacite Idoniwako, Muhammad 2025 置信度 0.66 Strategic CounselArtificial IntelligenceCorporate StrategyGreat BifurcationClarity Tax
• EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
  Reliable brain-computer interface (BCI) control of robots provides an intuitive and accessible means of human-robot interaction, particularly valuable for individuals with motor impairments. However, existing BCI-Robot systems face major limitations: electroen…
  datacite Wang, Junzhe, Xie, Jiarui, Hao, Pengfei, Li, Zheng 等 2025 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• The Collective Compute Revolution: Beyond CPU and GPU
  The Collective Compute Revolution: Beyond CPU and GPU Why the Future is Hybrid, Intelligent, and Edge-First Executive Summary The digital world is at a turning point. For decades, computational progress has been measured in faster CPUs and more powerful GPUs—b…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• The Collective Compute Revolution: Beyond CPU and GPU
  The Collective Compute Revolution: Beyond CPU and GPU Why the Future is Hybrid, Intelligent, and Edge-First Executive Summary The digital world is at a turning point. For decades, computational progress has been measured in faster CPUs and more powerful GPUs—b…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• Innovative Deep Graph Learning of Brain Dynamics for Smart Brain-Computer-Interface
  Brain dynamics encode critical patterns related to cognitive, metabolic, and hemodynamic processes, among others. With the advancement of signal perception techniques, brain dynamics decoding has been attracting increasing interest, towards promising human-com…
  crossref Jiadao Zou, Qingxue Zhang 2026-06-09T19:52:10Z 置信度 0.70
• Application status and prospects of brain-computer interface technology in acupuncture
  脑机接口技术为推动脑科学研究提供了新的方法，为临床治疗疾病提供了新的工具。针灸作为具有完整理论体系的传统疗法，对多种疾病有着切实的疗效，其机制研究虽日渐深入，但需进一步深化，临床疗效的提升、针刺反馈的方式和量化手段等也需新的突破。目前部分医家与学者将其结合应用已初显成效。二者结合，可通过双重路径提升临床疗效，利用可视神经数据为实现个体化诊疗打下基础。促进针灸手法量学研究，在针灸教育中也展现出了应用价值。下文从脑机接口技术简介入手，论述其与针灸的结合，对尚存的挑战与解决方法进行阐述，以期为针灸的应用、研究和传承提供新…
  crossref Zichen WANG, Ling SHI, Yingzhi MA, Ying HAI 2026-04-03T10:41:53Z 置信度 0.70
• A Low-Cost EEG Artifact-based Brain-Computer Interface for Wheelchair
  crossref Daksh Birthariya, Jalaluddeen Akbar, Abhinav Chandra Nair, Bulent Yilmaz 2026-06-23T19:43:46Z 置信度 0.70
• A Comparative Study of Brain-Computer Interface Paradigms in Lower Limb Motor Rehabilitation
  crossref Jie Zhang, Jiahe Zhang, Jiahao Lu 2026-08-07T19:15:16Z 置信度 0.70
• NeuroLex: A Lightweight Domain Language Model for EEG Report Understanding and Generation
  Clinical electroencephalogram (EEG) reports encode domain-specific linguistic conventions that general-purpose language models (LMs) fail to capture. We introduce NeuroLex, a lightweight domain-adaptive language model trained purely on EEG report text from the…
  crossref Kang Yin, Hye-Bin Shin 2026-03-19T20:04:24Z 置信度 0.70
• PEARL: Prompt-Based EEG Adaptation via Resource-Efficient Learning for Generalizable Brain-Computer Interface
  Electroencephalography (EEG) analysis is challenged by diverse signal characteristics and high inter-subject variability, which complicates reliable decoding. Recent Transformer-based pretrained models (PTMs) offer a path forward, but their reliance on costly …
  crossref Heejae Choi, Hyunseo Kim, Eun Yi Kim 2026-04-21T21:25:57Z 置信度 0.70
• Brain–computer interface integration in corporate learning: bidirectional enhancement frameworks for neurologically-augmented knowledge workers
  Worldwide, organizations are facing an extraordinary change as brain–computer interfaces move from medical to industrial applications. It is predicted that in 2030, 30% of people working in knowledge fields will rely on these technologies for cognitive enhance…
  crossref Viraj P. Tathavadekar, Nitin R. Mahankale 2026-04-14T09:33:26Z 置信度 0.70
• Interpretable Deep Learning for EEG-Based Brain-Computer Interface Alphanumeric Decoding
  crossref Madhavan Konar, Shubhangi Kharche, Madhuri Kulkarni, Sujal Parab 等 2026-07-28T19:09:53Z 置信度 0.70
• Neural Gaming and the Brain–Computer Interface Frontier
  crossref Jane Thomason 2025-11-12T15:47:17Z 置信度 0.70
• Sense of Agency in Brain-Computer Interface-Controlled Lower-Limb Rehabilitation Exoskeletons: Factors and Design Implications
  Brain-computer interface (BCI)-enhanced lower-limb rehabilitation exoskeletons can translate movement-related brain signals into assisted walking, thereby linking motor intention, robotic assistance, and sensory feedback. Existing evaluations of these systems …
  crossref Qingyu Zhao, Haoyu li, Pei-Luen Patrick Rau 2026-07-04T15:02:56Z 置信度 0.70
• NeuroCursor: A Brain-Computer Interface (BCI) for Differently Abled Persons
  A Brain-Computer Interface (BCI) can be used to establish direct communication between the human brain and external devices, enabling an individual to control system peripherals using cognitive signals. Even the latest research papers show that research in BCI…
  crossref Atharv Chandane, Meet Jain, Ishita Garg, Anusha Goswami 等 2026-03-25T15:50:04Z 置信度 0.70
• Neuroadaptive Generative Gaming using Artificial Intelligence and Brain–Computer Interface for Real-Time Storyline Evolution
  The rapid evolution of Artificial Intelligence (AI) and Brain-Computer Interface (BCI) technologies is revolutionizing the way humans interact with digital systems, particularly within the gaming industry.This study introduces and explores the emerging paradig…
  crossref 2026-01-23T10:21:21Z 置信度 0.70
• Bibliometric Analysis of Functional Electrical Stimulation (FES) as a Neurofeedback Tool in Brain–Computer Interface (BCI) Systems
  In the last few years, recent advances in alternative methods for neurorehabilitation have witnessed outstanding progress including electrical stimulation (ES) and its derivative functional electrical stimulation (FES), a treatment that applies a transcutaneou…
  crossref David Reyes-Lopez, Humberto Loaiza-Correa 2026-01-12T10:26:36Z 置信度 0.70