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• Path planning of industrial robots based on the adaptive field cooperative sampling algorithm.
  For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment complexity function is proposed to make full use of environment …
  europepmc 2025 置信度 0.80
• Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II.
  Multi-source visual information fusion and quality improvement can help the robotic system to perceive the real world. Image fusion is a computational technique fusing multisource images from multiple sensors into a synthesized image that provides a comprehens…
  europepmc 2024 置信度 0.80
• Construction of multi-robot platform based on dobot robots.
  For the researches of cooperative control scheme for multirobot systems, this paper sets up an experimental platform based on dobot robots, which can be used to perform physical experiments to verify related schemes. A distributed scheme is proposed to achieve…
  europepmc Jinchi Han, Duojicairang Ma 2025 置信度 0.80
• Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach.
  The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm networks. However, the non-independent and identically distributed …
  europepmc 2026 置信度 0.80
• On designing a configurable UAV autopilot for unmanned quadrotors.
  Unmanned Aerial Vehicles (UAVs) and quadrotors are being used in an increasing number of applications. The detection and management of forest fires is continually improved by the incorporation of new economical technologies in order to prevent ecological degra…
  europepmc Ali Bhar, Mounir Sayadi 2024 置信度 0.80
• RSA-TransUNet: a robust structure-adaptive TransUNet for enhanced road crack segmentation.
  With the advancement of deep learning, road crack segmentation has become increasingly crucial for intelligent transportation safety. Despite notable progress, existing methods still face challenges in capturing fine-grained textures in small crack regions, ha…
  europepmc Liling Hou, Fei Yu, Yaowen Hu, Yang Hu 等 2025 置信度 0.80
• Multi-granularity contrastive learning model for next POI recommendation.
  Next Point-of-Interest (POI) recommendation aims to predict the next POI for users from their historical activities. Existing methods typically rely on location-level POI check-in trajectories to explore user sequential transition patterns, which suffer from t…
  europepmc Yunfeng Zhu, Shuchun Yao, Xun Sun 2024 置信度 0.80
• Context-Aware Enhanced Feature Refinement for small object detection with Deformable DETR.
  Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to its reliance on CNNs for feature extraction, which restrict…
  europepmc 2025 置信度 0.80
• Editorial: Advances in haptic feedback for neurorobotics applications.
  In a similar context, Luis, Marko et al -from University Medical Center Göttingen, Hamburg University of Applied Sciences, Medical School Hannover, DE -investigated vibrotactile sensation of the arm-shoulder region in Vibrotactile mapping of the upper extremit…
  pubmed Min Li, Emanuele Lindo Secco, Yang Zheng, Chenyun Dai 等 2023 置信度 0.82 Haptic technologyComputer scienceHuman–computer interactionArtificial intelligence
• ActionX: pre-training action experts with reinforcement learning for vision-language action models.
  Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches heavily rely on large-scale human demonstration datasets, whi…
  europepmc Tinghao Yi, Quantao Yang, Enhong Chen 2026 置信度 0.80
• An adaptive discretized RNN algorithm for posture collaboration motion control of constrained dual-arm robots.
  Although there are many studies on repetitive motion control of robots, few schemes and algorithms involve posture collaboration motion control of constrained dual-arm robots in three-dimensional scenes, which can meet more complex work requirements. Therefore…
  europepmc 2024 置信度 0.80
• An improved graph factorization machine based on solving unbalanced game perception.
  The user perception of mobile game is crucial for improving user experience and thus enhancing game profitability. The sparse data captured in the game can lead to sporadic performance of the model. This paper proposes a new method, the balanced graph factoriz…
  europepmc Xiaoxia Xie, Yuan Jia, Tiande Ma 2024 置信度 0.80
• Two-Dimensional Electrically Conductive Metal-Organic Framework Boosts Synaptic Plasticity for Dynamic Image Refresh, Classification, and Efferent Neuromuscular Systems.
  We present a two-dimensional (2D) electrically conductive metal-organic framework (EC-MOF)-based artificial synapse. The intrinsic electronic conductivity and subnanometer channels of the EC-MOF facilitate efficient ion diffusion, enable a high density of acti…
  europepmc Huanhuan Wei, Jiaqi Liu, Yao Ni, Xuanxin Hu 等 2024 置信度 0.80 EfferentNeuroscienceMaterials scienceElectrical conductorNanotechnology
• Gait analysis system for assessing abnormal patterns in individuals with hemiparetic stroke during robot-assisted gait training: a criterion-related validity study in healthy adults.
  Introduction Gait robots have the potential to analyze gait characteristics during gait training using mounted sensors in addition to robotic assistance of the individual's movements. However, no systems have been proposed to analyze gait performance during ro…
  europepmc 2025 置信度 0.80
• An auditory P300-based brain-computer interface using Ear-EEG
  Ear-EEG is an EEG acquisition method that record EEG signal from inside the user's ear. This study fabricated an ear-EEG device and tested its ability to detect alpha activity when the subject is in a wakeful relaxation state and its performance in binary audi…
  crossref Netiwit Kaongoen, Sungho Jo 2018-03-12T17:53:47Z 置信度 0.70
• How Machine Learning and Modulation Supports Subject Brain-Computer Interface Training
  Brain-computer interfaces (BCIs) enable assistive control and motor rehabilitation by leveraging residual neural activity. When BCI control is treated as a learned skill, system design must support the activity-dependent plasticity underlying learning and cons…
  crossref José Del R. Millán 2026-03-19T20:04:24Z 置信度 0.70
• Towards a Network Expansion Approach for Reliable Brain-Computer Interface
  Robotic arms are increasingly being used in collab-orative environments, requiring an accurate understanding of human intentions to ensure both effectiveness and safety. Elec-troencephalogram (EEG) signals, which measure brain activity, provide a direct means …
  crossref Byeong-Hoo Lee, Kang Yin 2025-03-27T22:29:03Z 置信度 0.70
• Designing an Architecture for a Brain-Computer Interface Operating System: Addressing Neural Input Complexity
  The unique complexities of neural inputs, such as signal variability, noise sensitivity, and multimodal integration, demand a specialized architecture for Brain-Computer Interface (BCI) Operating Systems. This paper proposes a modular, scalable, and real-time …
  crossref Yunseok Choi 2025-03-28T02:29:03Z 置信度 0.70
• Feature selection for brain-computer interface using nearest neighbor information
  We consider the feature selection problem for a braincomputer interface (BCI). A BCI collects data from sensors, and the data are discriminated using information in a high-dimensional space. We show how relevant features in a high dimensional space can be sele…
  crossref Yung-Kyun Noh, Byoung-Kyong Min 2014-04-15T21:17:31Z 置信度 0.70
• A feedback training system using cognitive brain-computer interface
  Electroencephalography (EEG) has become a popular tool in brain-computer interface (BCI) research. Some of the drawbacks pertain to the offline analyses of the neural signal that prevent the subjects from engaging in real-time error correction during learning.…
  crossref Kyuwan Choi, Insoo Kim, Byoung-Kyong Min 2015-04-03T10:53:39Z 置信度 0.70
• A brain-computer interface with gamification in the Metaverse
  This study contributes to our understanding of the Metaverse by presenting a case study of the implementation of brain-computer interface supported game-based engagement in a Virtual Environment (VE). In VE, individuals can communicate with anyone, anywhere, a…
  crossref Yaşar DAŞDEMİR 2022-12-30T09:56:56Z 置信度 0.70
• Brain Computer Interface
  crossref Abdul Satti 2010-05-04T20:33:31Z 置信度 0.70
• Brain-computer interface for mental attention
  crossref Fahimi Fatemeh 2020-10-28T06:55:20Z 置信度 0.70
• Brain Gate & Brain Computer Interface
  crossref Kejal Chintan Vadza 2014-05-27T04:33:29Z 置信度 0.70
• User Adapted Brain-Computer Interface
  Interface cerveau-ordinateur adaptée à l'utilisateur Les interfaces cerveau-ordinateur (Brain-Computer Interface ou BCI) permettent la communication entre l’utilisateur et la machine, grâce à la traduction de l’activité cérébrale en commandes qui servent à con…
  crossref Federica Turi 2026-04-04T11:08:01Z 置信度 0.70
• Towards sign language recognition using EEG-based motor imagery brain computer interface
  While BCIs have a wide range of applications, the majority of research in the field is concentrated on addressing the issues of controlling and communicating for paralysed patients. This research seeks to examine-through the completion of offline experimentati…
  crossref Duaa AlQattan, Francisco Sepulveda 2017-02-20T21:35:38Z 置信度 0.70
• Introduction
  Brain signals or radiations are a relatively new concept that works with information collected via human brain and cognitive activity. These signals like human brain are influenced by all the physical, geographical, emotional, and cognitive activities around i…
  crossref Muskan Jindal, Eshan Bajal, Areeba Kazim 2023-02-10T16:26:58Z 置信度 0.70
• An Ear-EEG-based Brain-Computer Interface using Concentration Level for Control
  Ear-EEG is an alternative EEG acquisition method to the scalp-EEG conventionally used in Brain-Computer Interface (BCI). It is a more comfortable, discreet, and fashionable method comparing to the scalp-EEG. This work proposes an Ear-EEG-based BCI system that …
  crossref Netiwit Kaongoen, Sungho Jo 2020-04-10T04:23:57Z 置信度 0.70
• Application of Hybrid Brain-Computer Interface with Augmented Reality on Quadcopter Control
  Brain-computer interfaces (BCI) have been shown as a powerful way to provide communication without motor actions. However, they are currently limited by their methodology and user aptitude. Motor imagery (MI) based BCIs require lenghthy training sessions to be…
  crossref Jaehoon Choi, Sungho Jo 2020-04-10T04:23:57Z 置信度 0.70
• Review of Wireless Brain-Computer Interface Systems
  openalex Seungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim 等 2013-06-05 置信度 0.72 Interface (matter)Brain–computer interfaceComputer scienceWirelessHuman–computer interaction
• Adaptive Network Fuzzy Inference Systems for Classification in a Brain Computer Interface
  The first kind of FIS is designed based on the ability of fuzzy logic to model human percep‐ tion. These FIS elaborates fuzzy rules originates from expert knowledge and they are called fuzzy expert system. Expert knowledge was also used prior to FIS to constru…
  crossref Vahid Asadpour, Mohammd Reza, Reza Fazel-Rezai 2013-06-06T02:46:35Z 置信度 0.70
• 100 Years of EEG: Unleashing the Brain's Secrets and Motor of Brain-Computer Interface (BCI) Research
  Electroencephalography (EEG) has come a long way since its discovery, marking over a hundred years of groundbreaking progress. Hans Berger, the scientist behind this invention, revolutionized the study of brain activity by developing a non-invasive way to meas…
  crossref Andrea Kübler 2025-03-27T22:29:03Z 置信度 0.70
• Mind Controlled Drone: An Innovative Multiclass SSVEP based Brain Computer Interface
  A crucial element lost in the context of a neurodegenerative disease is the possibility to freely explore and interact with the world around us. The work presented in this paper is focused on developing a brain-controlled Assistive Device (AD) to aid individua…
  crossref Andrei Chiuzbaian, Jakob Jakobsen, Sadasivan Puthusserypady 2019-06-17T20:15:31Z 置信度 0.70
• A Two Dimensional Brain-Computer Interface Associated with Human Natural Motor Control
  Introduction1.1 Target groups of brain-computer interfaces (BCIs) Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that affects nerve cells which are responsible for controlling voluntary movement.Primary lateral sclerosis (PLS) i…
  crossref Dandan Huang, Xuedong Chen, Ding-Yu Fei, Ou Bai 2012-03-29T04:24:04Z 置信度 0.70
• Effective motor imagery training with visual feedback for non-invasive brain computer interface
  In this study, we propose an effective training method for 2-class motor imagery tasks on brain computer interface (BCI) systems viable even for distracting environments. For non-invasive BCIs, it is difficult to capture event-related desynchronization (ERD) a…
  crossref Sungho Jo, Jin Woo Choi 2018-03-12T21:53:47Z 置信度 0.70
• Brain-Computer Interface Based on Ear-EEG
  Scalp-electroencephalography (EEG) has been traditionally used to develop a brain-computer interface (BCI) system. In recent years, EEGs recorded around or inside the ears, called ear-EEG, has been frequently used to develop a practical BCI system, and many pr…
  crossref Han-Jeong Hwang 2021-06-08T16:42:51Z 置信度 0.70
• Statistical Learning for Brain–Computer Interface
  A BCI is a system that transforms brain impulses directly into motions for computer software, such as a word processor, or a device, such as a monitor. We describe who the target users of a BCI are and how a BCI works in this section. We also discuss the vario…
  crossref Lalit Kumar Gangwar, Ankit, A. John, E. Rajesh 2023-02-10T21:26:58Z 置信度 0.70
• Brain-Computer Interface versus Brain-Computer Interaction
  The terms “brain-computer interface” and “brain-computer interaction” are closely related, but they emphasize different aspects of brain-computer systems. The ongoing misinterpretation of these terms has impeded the accurate classification of applications and …
  openalex Erman Çakıt, Waldemar Karwowski 2026-01-01 置信度 0.72 Interface (matter)Perspective (graphical)Experiential learningComparabilityConfusion
• Autonomous vehicle control with brain-computer interface
  Διεπαφές Εγκεφάλου-Υπολογιστή (ΔΕΥ) επιτρέπουν στους ανθρώπους να ελέγχουν και να αλληλεπιδρούν με μηχανές μέσω της αποκωδικοποίησης σημάτων του εγκεφάλου που συλλέγονται με τη χρήση ηλεκτροεγκεφαλογραφήματος (ΗΕΓ). Αυτά τα συστήματα είναι εξαιρετικά σημαντικά…
  crossref Κοσμάς Γλαβάς 2025-11-07T12:26:51Z 置信度 0.70
• Hybrid brain computer interface for robot control
  b1626300 HKUST Electronic Theses Hybrid brain computer interface for robot control by Xujiong Dong thesis 2016 xv, 65 pages : illustrations ; 30 cm Brain Computer Interfaces (BCIs) use information of brain activity for communication and control. Pure BCIs ofte…
  crossref Xujiong Dong 2017-04-23T02:38:05Z 置信度 0.70
• Artificial Intelligence-Based Brain-Computer Interface
  crossref 2022-02-11T07:33:49Z 置信度 0.70
• Brain-Computer Interface Basics
  Brain-computer interfaces (BCI) facilitate the exchange of information between the brain and other types of equipment. The process involves three primary stages: acquisition of brain signals, analysis and interpretation of these signals, and transmission of co…
  crossref Dina Darwish, Digvijay Pandey 2025-05-14T13:56:44Z 置信度 0.70
• A wireless, wearable Brain-Computer Interface for neurorehabilitation at home; A feasibility study
  Despite Brain-Computer Interfaces (BCI) showing potential for motor rehabilitation following stroke, clinical adoption is lacking. BCI featuring unsupervised training at home may facilitate the clinical use of BCI. This study tested the feasibility of a wearab…
  crossref Colin Simon, Kathy L. Ruddy 2022-03-17T16:56:01Z 置信度 0.70
• Asynchronous Motor Imagery Brain-Computer Interface for Simulated Drone Control
  Brain-computer interfaces allow direct control over devices without any physical action by the user. Motor imagery-based brain-computer interfaces analyze spatial patterns from brain signals elicited when the user imagines execution of a specific behavior. One…
  crossref Jin Woo Choi, Byung Hyung Kim, Sungho Jo 2021-05-24T20:25:36Z 置信度 0.70
• BIO-AMPLIFIER FOR BRAIN COMPUTER INTERFACE
  This article describes the hardware design of four-channel amplifier (BioAmp) for human neurophysiologic electrical activity measurement.Variable combination of leads is possible depending on the measurement type and characteristics thereof.Gain of individual …
  crossref Branko BABUŠIAK, Martin KNOCIK 2015-02-17T08:10:40Z 置信度 0.70
• Guidewires-driven Deployable Electronics for Minimally Invasive Epidural Electrocorticographic Brain-computer Interface
  The utility of electrocorticographic brain-computer interface (ECoG-BCI) is well-established in clinical settings and basic neuroscience owing to the good fidelity and non-pentrating nature. Current devices necessitate compromises between coverage area, electr…
  crossref Paddy Kwok Leung Chan, Tao Zou 2026-03-19T20:04:24Z 置信度 0.70
• Brain-Computer Interface in Lie Detection
  crossref Julia Świec 2021-03-29T04:02:31Z 置信度 0.70
• Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface
  Recent advances in deep learning have made a progressive impact on BCI researches. In particular, convolutional neural networks (CNNs) with different architectural forms have been studied for spatio-temporal or spatio-spectral feature representation learning. …
  crossref Wonjun Ko, Eunjin Jeon, Jiyeon Lee, Heung-Il Suk 2019-06-17T20:15:31Z 置信度 0.70
• Brain-Computer Interface in Intelligent Environment
  crossref Paweł Piróg 2021-03-29T04:02:31Z 置信度 0.70
• Deep learning classification features visualization for arm movement brain-computer interface
  Recently, several studies are focusing on the bimanual based arm movement brain-computer interface (BCI) study. In our previous bimanual BCI studies showed that classifying the arm movement type is significantly improved the BCI performance. In this study, to …
  crossref Seokbeen Lim, Dong Pyo Jang, Hoseok Choi 2020-04-10T04:23:57Z 置信度 0.70
• A Brain-Spine Interface Complements Deep-Brain Stimulation
  crossref Tomislav Milekovic 2021-08-28T04:02:48Z 置信度 0.70
• Multi-command Tactile and Bone-Conduction-Auditory Brain-Computer Interface
  crossref Tomasz M. Rutkowski, Hiromu Mori, Koichi Mori 2014-11-01T07:14:34Z 置信度 0.70
• Study of wavelet-based performance enhancement for motor imagery brain-computer interface
  To enhance the reliability of motor imagery based brain-computer interface, we present a study that considers subject-based optimization of feature extraction and classification. In particular, wavelet-based feature extraction performed on different bands was …
  crossref Mukhtar Alansari, Mahmoud Kamel, Bandar Hakim, Yasser Kadah 2018-03-12T21:53:47Z 置信度 0.70
• Classification of motor imagery for Ear-EEG based brain-computer interface
  Brain-computer interface (BCI) researchers have shown an increased interest in the development of ear-electroencephalography (EEG), which is a method for measuring EEG signals in the ear or around the outer ear, to provide a more convenient BCI system to users…
  crossref Yong-Jeong Kim, No-Sang Kwak, Seong-Whan Lee 2018-03-12T17:53:47Z 置信度 0.70
• A SLAM Integrated Hybrid Brain-Computer Interface for Accurate and Concise Control
  In this paper we present a hybrid brain-computer interface (BCI) system that manipulates simultaneous localization and mapping (SLAM) for convenient control of a robot. Due to the low accuracy of classifying multi-class neural signals, using brain signals alon…
  crossref Junyong Park, Jin Woo Choi, Sungho Jo 2019-06-18T00:15:31Z 置信度 0.70
• Hybrid brain-computer interface based on EEG and NIRS modalities
  Non-invasive brain-computer interfaces (BCIs) allow users to control external devices by their intentions. Currently, most BCI systems are synchronous, which means, they rely on cues or tasks to which a subject has to react. It would be more useful for users i…
  crossref Min-Ho Lee, Siamac Fazli, Jan Mehnert, Seong-Whan Lee 2014-04-15T21:17:31Z 置信度 0.70
• Brain–Computer Interfaces (BCIs) and Traffic Control
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• Brain-Computer Interface Research: A State-of-the-Art Summary 5
  crossref Christoph Guger, Brendan Allison, Junichi Ushiba 2017-04-29T13:08:54Z 置信度 0.70
• Development of Brain Computer Interface based Action Observation Program with Functional Electrical Stimulation device(FES)
  The patients with severe paralysis have difficulty to perform rehabilitation training efficiently. In this paper, we developed BCI based Action Observation game program with FES. This program can make actual arm to move by FES while the patients watch the acti…
  crossref Jieun Son, Jeonghun Ku 2019-06-18T00:15:31Z 置信度 0.70
• Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery
  Sources of Electrical Brain Activity Most Relevant to Performance of Brain-Computer Interface Based on Motor Imagery
  crossref Alexander Frolov, Duan Hsek, Pavel Bobrov, Olesya Mokienko 等 2013-06-06T06:46:35Z 置信度 0.70
• Electroencephalogram-based Brain–Computer Interface: An Introduction
  crossref Ramaswamy Palaniappan 2014-10-03T07:04:53Z 置信度 0.70
• Brain-Computer Interface Based on Magnetic Particle Imaging For Diagnostic and Neurological Rehabilitation in Multiple Sclerosis
  Applications of brain-computer interface (BCI) based on data of magnetic particle image (MPI) scanning of biological effector bound in-vivo magnetic nanoparticles (MNs) can be a desirable method of providing noninvasive diagnostic and neurological rehabilitati…
  crossref Tiffany C. Miller 2020-04-10T04:23:57Z 置信度 0.70
• Near-Infrared Optical Technologies in Brain-Computer Interface Systems
  crossref Korshakov Alexei Vyacheslavovich 2019-02-07T16:57:12Z 置信度 0.70
• Industrial perspectives on brain-computer interface technology
  Neuromodulation therapies offer a unique opportunity for translating brain-computer interface (BCI) technologies into a clinical setting. Several diseases such as Parkinson's disease are effectively treated by invasive device stimulation therapies, and the add…
  crossref 2020-03-09T14:18:47Z 置信度 0.70
• Towards a versatile brain-machine interface: Neural decoding of multiple behavioral variables and delivering sensory feedback versatile brain-machine interface
  While brain-machine interfaces (BMIs) strive to provide neural prosthetic solutions to people with sensory, motor and cognitive disabilities, they have been typically tested in strictly controlled laboratory settings. Making BMIs versatile and applicable to re…
  crossref Mikhail A Lebedev 2018-03-12T17:53:47Z 置信度 0.70
• Brain Computer Interface (BCI) Technology
  Brain Computer Interface (BCI) is a direct interface or communication path between human brain and
  crossref 2022-05-30T18:02:35Z 置信度 0.70
• Icon-based communication through a brain computer interface
  Alternative and Augmentative Communication (AAC) is typically used by people with Severe Speech and Physical Impairment (SSPI) and is one of the main application areas for Brain Computer Interface (BCI) technology. The target population includes people with Ce…
  crossref Asieh Ahani 2021-05-10T17:10:59Z 置信度 0.70
• An Auditory Output Brain–Computer Interface for Speech Communication
  crossref Jonathan S. Brumberg, Frank H. Guenther, Philip R. Kennedy 2013-03-25T21:29:52Z 置信度 0.70
• Application of improved semi-supervised clustering in MEG brain computer interface
  crossref Li-na ZHOU, Meng LU 2011-04-02T08:13:53Z 置信度 0.70
• Multi-Technique Integration in Brain-Computer Interface-VR: Challenges and Opportunities
  crossref Yule Zhouxiong 2026-02-25T21:17:46Z 置信度 0.70
• Brain-computer interface and its applications in cognitive training
  We investigated the use of Brain-Computer Interface (BCI) in cognitive training. We developed a BCI to quantify a person's attention level. Based on this algorithm, a feedforward mechanism is then used to build gaming interfaces for cognitive training. Several…
  crossref Cuntai Guan, Tih Shih Lee, Choon Guan Lim, Daniel Fung 等 2015-04-03T10:53:39Z 置信度 0.70
• A Review of P300, SSVEP, and Hybrid P300/SSVEP Brain- Computer Interface Systems
  There are several techniques for measuring brain activities such as magnetoencephalogram (MEG), near infrared spectroscopy (NIRS), electrocorticogram (ECoG), functional magnetic resonance imaging (fMRI), and electroencephalography (EEG). Each technique has som…
  openalex Setare Amiri, Ahmed Rabbi, Leila Azinfar, Reza Fazel-Rezai 2013-06-05 置信度 0.72 ElectroencephalographyBrain–computer interfaceSoftware portabilityComputer scienceEEG-fMRI
• The Impact of Brain–Computer Interface on Lifestyle of Elderly People
  Today, the interface between the brain and the computer can be designed using intelligent tools. This two-way communication that is named the Brain–computer interface can make new changes in the world of science. Today, with the development of smartphones, the…
  crossref Zahra Alidousti Shahraki, Mohsen Aghabozorgi Nafchi 2023-02-10T21:26:58Z 置信度 0.70
• Design of a robotic wheelchair with a motor imagery based brain-computer interface
  This paper presents a prototype for an electro-encephalogram (EEG) based brain-actuated wheelchair system using motor imagery. To overcome some of the limitations of other previous works, such as gaze dependence and unnecessary stops, five commands (left, left…
  crossref Keun-Tae Kim, Tom Carlson, Seong-Whan Lee 2013-04-26T19:28:33Z 置信度 0.70
• Brain Computer Interface
  'Brain Computer Interface' published in 'Encyclopedia of Computer Graphics and Games'
  crossref 2024-01-10T17:03:06Z 置信度 0.70
• Stroke and potential benefits of brain-computer interface
  To treat stroke and, in particular, to alleviate the personal and social burden of stroke survivors is a main challenge for neuroscience research. Advancements in the knowledge of neurobiologic mechanisms subserving stroke-related damage and recovery provide k…
  crossref 2020-03-09T14:13:45Z 置信度 0.70
• Parameter-Efficient Neural ODEs for Brain-Computer Interfaces
  On a mere 20-watt power budget, the brain achieves robust learning and adaptive decision-making in ways that continue to elude advanced AI systems. It accomplishes these tasks partly via canonical microcircuits (CMCs)—stereotyped motifs of recurrent excitatory…
  crossref PK Douglas 2026-03-19T20:04:24Z 置信度 0.70
• Robust feature construction against non-stationarity for EEG brain-machine interface
  Electroencephalographic (eeg) signals are known to be non-stationary and easily affected by artifacts. therefore, it is particularly important to alleviate non-stationarity in order to construct useful brain-machine interface (bmi) systems in real environments…
  crossref Motoaki Kawanabe 2014-04-15T17:17:31Z 置信度 0.70
• Evaluating Steady-State Visually Evoked Potentials-Based Brain-Computer Interface System Using Wavelet Features and Various Machine Learning Methods
  Steady-state visual evoked potentials (SSVEPs) have been designated to be appropriate and are in use in many areas such as clinical neuroscience, cognitive science, and engineering. SSVEPs have become popular recently, due to their advantages including high bi…
  crossref Ebru Sayilgan, Yilmaz Kemal Yuce, Yalcin Isler 2021-06-23T13:28:35Z 置信度 0.70
• Brain-computer interface: an update for the clinicians.
  This narrative review critically examines the fundamental principles and clinical applications of Brain-Computer Interfaces (BCIs) in neuroscience and mental health. We searched PubMed, Scopus, and PEDro databases using pre-defined keywords, with inclusion res…
  pubmed AK Jain, Sreelakshmi Raveendran, Krishnan Padmakumari Sivaraman Nair, Subasree Ramakrishnan 等 2026 置信度 0.82 MainstreamNarrative reviewNarrativeInclusion (mineral)Medicine
• A color-coded SSVEP-based brain-computer interface.
  Abstract Objective. Steady-state visual evoked potential (SSVEP) based brain–computer interfaces (BCIs) predominantly employ frequency, phase, or spatial coding. This study proposes a color-dimension SSVEP encoding scheme and evaluates its feasibility and elic…
  europepmc Shance Ju, Gege Ming, Guoya Dong, Xiaorong Gao 等 2026 置信度 0.80
• Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors.
  Accurate perception of subtle visuo-motor errors is essential for perceptual and sensorimotor learning, and supports timely corrective actions in precision-based task. However, conventional perceptual training, typically based on response-accuracy feedback, is…
  pubmed Deland Hu Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen 等 2026 置信度 0.82 Brain–computer interfacePerceptionInterface (matter)Training (meteorology)Computer science
• Brain2voice 2.0: High-performance voice synthesis brain-computer interface
  Brain-computer interfaces (BCIs) offer a promising solution to speech loss due to neurological injury by decoding intended speech directly from brain activity. While recent BCIs have restored high-accuracy text-based communication, they fail to provide instant…
  europepmc 2026 置信度 0.80
• Brain-computer interface commercialization.
  Abstract Background Brain-computer interfaces (BCIs) have emerged as powerful tools to restore neurological function lost due to injury or degeneration. Despite scientific advancements, successful commercialization remains challenging. This article analyzes tw…
  europepmc Jackson Powell, Anson Zhou 2026 置信度 0.80
• Automated Anxiety Detection System Integrating a Brain-Computer Interface for Neurofeedback Applications.
  Anxiety disorders pose an increasing challenge to the mental health of individuals, particularly in regions with limited healthcare access. This study investigated the potential of integrating a brain-computer interface for processing electroencephalography (E…
  pubmed Aldayel M, Al-Nafjan A 2026 置信度 0.82
• Consent in flux: when brain‑computer interface embodiment undermines informed consent.
  In March 2026, China approved the first invasive brain‑computer interface (BCI) for clinical use globally. While this milestone accelerates neurotechnology translation, it exposes a neglected ethical problem: in some long-term invasive BCI cases, partic…
  pubmed Zhao Y, Lin Y 2026 置信度 0.82
• An online brain-computer interface for detecting incongruity in augmented reality applications.
  Objective. Augmented reality can provide digital information about physical entities presented within its real-world context. However, this information might disagree with the user's expectations due to factual errors in the data or cognitive biases. Such inco…
  europepmc 2026 置信度 0.80
• Implanted Pediatric Brain-Computer Interface Research: Recommendations for the Ethical Design of Clinical Trials.
  For children with severe physical and cognitive disabilities (e.g. iatrogenic neurologic injury, congenital myelopathy, or quadriplegic cerebral palsy), there are limited therapeutic options. Scientific and clinical developments in implantable brain-computer i…
  pubmed Bobier C, Hurst DJ 2026 置信度 0.82
• Imagined Speech Brain-Computer Interface: A Task-Oriented Review of Neural Decoding.
  Imagined speech decoding has attracted growing interest in brain-computer interface (BCI) research, as it may enable language-related information to be recovered from non-overt neural activity. Current studies in this area are often treated as a single, unifie…
  europepmc 2026 置信度 0.80
• Brain-Computer Interface Applications in Craniofacial Nerve Functional Reconstruction: A Narrative Review.
  Background: Brain-computer interface (BCI) technology is increasingly relevant to craniofacial nerve functional reconstruction because it can decode cortical motor intent and convert it into physical or digital output when peripheral motor pathways are impaire…
  pubmed Chen HL, Zou S, Zheng LL, Hai-lian Chen 等 2026 置信度 0.82
• Earth–Brain Computer Interface a cross-disciplinary framework for earthquake and volcanic eruption forecasting
  Abstract Accurate forecasting of earthquakes and volcanic eruptions remains one of the foremost unsolved challenges in geoscience. Here we propose the Earth–Brain Computer Interface (E-BCI), a cross-disciplinary predictive framework that maps established brain…
  europepmc chendaqian 2026 置信度 0.80
• Small Brains, Big Data: The Current Landscape of Pediatric Brain-Computer Interface Clinical Trials.
  IntroductionBrain-computer interfaces (BCIs) have shown meaningful functional benefits for patients with severe neurologic and neuromuscular disabilities. Pediatric populations with similar conditions may likewise benefit, yet the scope and characteristics of …
  pubmed Bobier CA, Peyravi R, Hurst D 2026 置信度 0.82
• Concurrent control of natural and robotic limbs through a tactile-encoded brain-computer interface.
  Brain-computer interfaces (BCIs) promise to extend human movement capabilities by enabling direct neural control of supernumerary effectors, yet integrating augmented commands with multiple degrees of freedom without disrupting natural movement remains a key c…
  pubmed Jia T, Yang X, McGeady C, Li Y 等 2026 置信度 0.82
• MotiVE BCI: motivation models including valence and expectancy in brain-computer interface use.
  In this work, a theoretical framework addressing the role of motivation in brain-computer interface (BCI) was developed. The aim was to present theory-based versions of motivation models for BCI use that can serve as a foundation for hypothesis generation and …
  pubmed Kleih SC, Sonja C. Kleih 2026 置信度 0.82
• Brain-Computer Interface Games for Cognitive Assessment: A Scoping Review.
  Traditional cognitive assessments rely on verbal or motor responses, posing challenges for individuals with communication or mobility impairments. Brain-computer interface (BCI) games could enable cognitive assessments without motor or verbal demands.
  pubmed Alsubaie M, Alshammari S, Ahmed Y, Esmail S 等 2026 置信度 0.82
• Advancing stroke rehabilitation: the potential and challenges of closed-loop brain-computer interface technology.
  Background: Stroke is one of the leading causes of long-term disability in older worldwide. As an emerging neuromodulation intervention, closed-loop brain-computer interfaces (BCIs) aim to promote the reconstruction of the damaged cortex through real-time feed…
  pubmed Yan Cheng, 郭向奎, Lijia Dong, Qiang Deng 等 2026 置信度 0.82 Brain–computer interfaceNeurofeedbackPhysical medicine and rehabilitationNeuromodulationNeuroprosthetics
• High-resolution brain-computer interface with electrode scalability and minimally invasive surgery.
  europepmc 2025-10-02T09:04:57Z 置信度 0.80
• Sensing Cognitive Responses Through a Non-Invasive Brain-Computer Interface.
  Cognitive stress, also known as mental workload, constitutes a central topic within the field of psychophysiology due to its role in modulating attention, autonomic regulation, and stress reactivity. Furthermore, it bears direct relevance to practical monitori…
  europepmc H. R. Hristov, Zlatogor Minchev, Mitko Shoshev, Irina A. Kancheva 等 2026 置信度 0.80 CognitionPsychophysiologyHeart rate variabilityCognitive loadHeart rate
• Long-term independent use of an intracortical brain-computer interface for speech and cursor control.
  Brain-computer interfaces (BCIs) can provide naturalistic communication and digital access to people with severe paralysis by decoding neural activity associated with attempted speech and movement. Recent work has demonstrated highly accurate intracortical BCI…
  pubmed Card NS, Singer-Clark T, Peracha H, Iacobacci C 等 2026 置信度 0.82
• A Minimally Invasiveness Hybrid Brain-Computer Interface: A Distributed, Scalable and Evolvable Architecture for Whole Brain Access
  Abstract Brain-computer interfaces face a fundamental trade-off between the signal fidelity and stimulation precision of noninvasive systems and the surgical burden and scalability of invasive systems. Non-invasive BCIs suffer from low signal quality and poor …
  europepmc Zhe Li, Na Liu, Li Wan, Mengting Liu 等 2026 置信度 0.80