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• Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface
  A electroencephalography (EEG) based braincomputer interface (BCI) provides a communication channel to operate the external environment by decoding brain patterns. Movement-Related Cortical Potentials (MRCPs) are one particular type of EEG pattern during movem…
  crossref Min-Kyung Jung, Seho Lee, In-Nea Wang, Ha-Yoon Song 等 2021-05-17T22:58:03Z 置信度 0.70
• Annexes
  crossref Claude Clément 2019-10-08T13:08:02Z 置信度 0.70
• Brain Computer Interface Training After Stroke
  crossref 2019-08-29T18:02:31Z 置信度 0.70
• Welcome Message from the General Chairs
  It is again a great pleasure to welcome you to the 11 th International Winter Conference on Brain-Computer Interface.Due to the COVID-19 situation, BCI2023 will be taking a hybrid conference format as a both virtual and onsite attendees conference.As a success…
  crossref 2023-03-28T18:11:47Z 置信度 0.70
• The Biotic-Abiotic Interface
  crossref Patrick A. Tresco, Greg A. Gerhardt 2008-09-17T20:50:00Z 置信度 0.70
• Machine Learning Using Brain Computer Interface System
  Abstract With commercially available hardware and supporting software, different electrical potential brain waves are measured via a headset with a collection of electrodes. Out of the different types of brain signals, the proposed brain-computer interface (BC…
  crossref Kevin Matsuno, Vidya K. Nandikolla 2021-02-16T16:29:20Z 置信度 0.70
• Peer Review #1 of "Discriminating three motor imagery states of the same joint for brain-computer interface (v0.1)"
  The classification of electroencephalography (EEG) induced by the same joint is one of the major challenges for brain-computer interface (BCI) systems.In this paper, we propose a new framework, which includes two parts, feature extraction and classification.Ba…
  crossref 2021-08-29T02:31:42Z 置信度 0.70
• Performance Improvements of Brain-Computer Interface Systems based on Variance-Considered Machines
  본 논문에서는 선행 연구를 통해 제안하였던 새로운 분류 알고리즘인 Variance Considered Machines (VCM)을 통해 EEG 신호의 분류 에러율을 감소시킴으로 Brain-Computer Interface (BCI)의 성능향상 가능성을 보였다. BCI란 뇌파를 통해 컴퓨터와 같은 시스템을 제어하는 것으로 BCI의 인식률에 영향을 미치는 것에는 많은 요소가 있지만 본 논문에서는 그 중에서도 가장 중요한 분류 알고리즘을 제안된 알고리즘을 통해 인식률…
  crossref Hong-Gi Yeom, Kwee-Bo Sim 2011-05-05T21:44:33Z 置信度 0.70
• Brain-Computer Interface (BCI)
  crossref Isaac Josh Abecassis, Andrew L. Ko 2018-11-30T10:48:50Z 置信度 0.70
• Peer Review #1 of "Discriminating three motor imagery states of the same joint for brain-computer interface (v0.2)"
  The classification of electroencephalography (EEG) induced by the same joint is one of the major challenges for brain-computer interface (BCI) systems.In this paper, we propose a new framework, which includes two parts, feature extraction and classification.Ba…
  crossref 2021-08-29T02:31:45Z 置信度 0.70
• Ear-EEG: Continuous Brain Monitoring
  crossref David Looney, Preben Kidmose, Mary J. Morrell, Danilo P. Mandic 2014-11-01T11:14:34Z 置信度 0.70
• Associative Plasticity Induced by a Brain–Computer Interface Based on Movement-Related Cortical Potentials
  This chapter presents the basic concepts of a brain–computer-interface (BCI) designed for neuromodulation that is based on known theories of memory storage and learning. Initially, an overview is provided of the control signal, the movement-related cortical po…
  crossref Natalie Mrachacz-Kersting, Ning Jiang, Kim Dremstrup, Dario Farina 2019-03-14T13:35:55Z 置信度 0.70
• A Brief Summary of EEG Artifact Handling
  There are various obstacles in the way of use of EEG. Among these, the major obstacles are the artifacts. While some artifacts are avoidable, due to the nature of the EEG techniques there are inevitable artifacts as well. Artifacts can be categorized as intern…
  crossref İbrahim Kaya 2021-08-19T13:28:54Z 置信度 0.70
• FlashLife™, a context-aware code-VEP based brain computer interface for daily life using EEG signals
  Losing communication and control abilities imposes many restrictions on how, when and if different tasks can be done by the affected individuals. Unfortunately, accidents and many harmful diseases, including Amyotrophic Lateral Sclerosis (ALS) impose such disa…
  crossref Hooman Nezamfar 2021-05-10T17:10:59Z 置信度 0.70
• Doers
  crossref Claude Clément 2019-10-08T13:08:02Z 置信度 0.70
• Visual Tracking Brain-Computer Interface
  crossref Changxing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen 等 2023-12-13T15:35:41Z 置信度 0.70
• ECoG signal processing for Brain Computer Interface with multiple degrees of freedom for clinical application
  Traitement du signal ECoG pour Interface Cerveau Machine à grand nombre de degrés de liberté pour application clinique Les Interfaces Cerveau-Machine (ICM) sont des systèmes qui permettent à des patients souffrant d'un handicap moteur sévère d'utiliser leur ac…
  crossref Marie-Caroline Schaeffer 2026-04-02T11:55:01Z 置信度 0.70
• The Proposed Graphical User Interface (GUI)
  crossref Vaibhav Gandhi 2015-01-23T16:09:32Z 置信度 0.70
• Implantable Brain-Computer Interface Based On Printing Technology
  Implantable brain-computer interface is a braincomputer interaction device by implants optrodes/electrodes on the surface or deep of the brain. By stimulating and recording neural signals, we can explore the function of neural tissue and further guide disease …
  crossref Lusheng Liu, Bo Wen, Minjie Wang, Aiping Wang 等 2023-03-28T18:11:47Z 置信度 0.70
• Non-Invasive Brain-Computer Interface Technology (BCI) Modalities and Implementation: A Review Article and Assimilation of BCI Models
  Brain-computer interface (BCI) technology or brain-machine interface (BMI) technology has become the most attractive field for researchers in various disciplines and has occupied an important place in many scientific and even recreational applications. This re…
  crossref Dalia Mirghani Mahmoud Saadabi 2021-10-21T07:18:35Z 置信度 0.70
• Guess the Number - Applying a Simple Brain-Computer Interface to School-age Children
  Although research into brain-computer interfaces is more common in recent years, studies concerning large groups of specific subjects are still lacking. This paper describes a simple brain-computer interface (BCI) experiment that was performed on a group of ov…
  crossref Lukáš Vařeka, Tomáš Prokop, Jan Štěbeták, Roman Mouček 2016-08-02T14:04:22Z 置信度 0.70
• Signal Processing and Classification Approaches for Brain-Computer Interface
  This chapter have introduced a comprehensive survey of signal processing, feature extraction/ selection and classification methods used to provide the readers with guidelines on design brain-computer interfaces (BCIs). Based on the results given by (Bashashati…
  crossref Tarik Al-ani, Dalila Tr 2012-03-29T03:48:07Z 置信度 0.70
• Welcome message from the general chairs
  It is again a great pleasure to welcome you to the 4th International Winter Conference on Brain-Computer Interface in Yongpyeong resort. This is the fourth event of the annual Brain-Computer Interface winter conference and it seems that we have already made th…
  crossref 2016-05-04T20:43:25Z 置信度 0.70
• Signal Processing for EEGs
  crossref Narayan Panigrahi, Saraju P. Mohanty 2022-05-27T14:39:05Z 置信度 0.70
• Case Study - Brain-Computer Interface Applications Research
  Brain-Computer Interfaces (BCI) refer to the detection and implantation of brain signals and technology. The first implementation demonstrated and described in an academic setting was in 1964 by Dr. William Grey Walter of the Burden Neurological Institute of B…
  crossref Devin Perry 2026-07-24T07:11:33Z 置信度 0.70
• Human 2.0 – Legal Implications of Brain-Computer Interface Technology
  Stellen Sie sich vor, Sie könnten durch reine Gedankenkraft Geräte steuern – das ist mit Blick auf die aktuellen Entwicklungen von Brain-Computer Interfaces (BCI) keine Zukunftsmusik mehr. Je weiter die Entwicklung von BCI-Technologie voranschreitet und zu mar…
  crossref Anne-Sophie Morand, Christine Schweikard 2023-10-30T20:03:41Z 置信度 0.70
• Application of Microprocessor STM32 in Correlation with Brain-Computer Interface Technology
  crossref Szczepan Paszkiel 2022-07-08T16:08:06Z 置信度 0.70
• Brain-CAVE Interface Based on Steady-State Visual Evoked Potential
  Recently, a new modality of the human-computer interface has been more and more emerging; The Brain-Computer Interface (BCI). The BCI is a communication channel, which enables us to send commands to external devices by using human brain activities (Wolpaw et a…
  crossref Hideaki Touyama 2012-03-29T07:45:26Z 置信度 0.70
• Quo vadis P300 BCI?
  The P300 event-related potential is often used as input signal for BCI control. BCI researchers often invest time in studies on stimulation and classification procedures that remain below results already achieved. Translational studies are sparse and also thei…
  crossref Andrea Kubler 2017-02-20T16:35:38Z 置信度 0.70
• Decision letter for "Standardization of protocol design for user training in EEG-based Brain-Computer Interface"
  crossref 2020-11-21T16:00:30Z 置信度 0.70
• Brain computer interface gaming
  During the last couple of decades, there has been an exponential improvement in neuroimaging technologies that allowed researchers to evaluate cognitive workload, short term memory, and spatial/navigational behaviors in humans. Through the use of new experimen…
  crossref Kenneth V. Oum, Paul J. Diefenbach 2021-07-16T02:58:58Z 置信度 0.70
• Altered EEG Microstates During the Motor Preparation Process for Voluntary and Instructed Action
  There is an urgent need to identify biomarkers of the motor preparation process in cognitive neuroscience.In this study, voluntary and instructed action experimental paradigms were designed and 29 participants were recruited.The electroencephalography (EEG) mi…
  crossref Lipeng Zhang, Tongda Shen, Rui Zhang, Yuxia Hu 2022-02-11T11:13:51Z 置信度 0.70
• Brain-Computer Interface and Human Rights
  Information and communication technologies are part of every area of our lives. They help us to facilitate not only physical activities, but they are also a means of revealing and uncovering the secrets and connections of human organisms, thinking, decision-ma…
  crossref Matej Kostrec, Bohumír Štědroň 2022-01-21T07:10:20Z 置信度 0.70
• Neuro-Fuzzy Prediction for Brain-Computer Interface Applications
  The brain-computer interface (BCI) work is to provide humans an alternative channel that allows direct transmission of messages from the brain by analyzing the brain’s mental activities [1–7]. The brain activity is recorded by means of multi-electrode electroe…
  crossref Wei-Yen Hsu 2012-05-18T08:01:43Z 置信度 0.70
• Session MA2b: EEG based brain computer interface
  crossref 2015-04-27T20:33:41Z 置信度 0.70
• Advanced Brain-Computer Interface for People With Paralysis
  crossref Jennifer Abbasi 2019-02-12T17:01:00Z 置信度 0.70
• Conclusions
  crossref Claude Clément 2019-10-08T09:08:02Z 置信度 0.70
• PIEEG: Turn a Raspberry Pi Into a Brain-Computer-Interface To Measure Biosignals
  This paper presents an inexpensive, high-precision, but at the same time, easy-to-maintain PIEEG board to convert a RaspberryPI to a Brain-computer interface. This shield allows measuring and processing eight real-time EEG(Electroencephalography) signals. We u…
  crossref Ildar Rakhmatulin, Sebastian Völkl 2022-03-01T22:07:08Z 置信度 0.70
• Classifying siren-sound mental rehearsal and covert production vs. idle state towards onset detection in brain-computer interfaces
  This research investigated the potential of a new method for onset detection towards asynchronous BCIs. Siren sound covert production and recall were classified against the idle (no task) state in an off-line system. Wavelet packet decomposition was employed f…
  crossref Young Jae Song, Francisco Sepulveda 2015-04-03T14:53:39Z 置信度 0.70
• Welcome Message from the General Chairs
  It is again a great pleasure to welcome you to the 8 th International Winter Conference on Brain-Computer Interface in High1 resort.This is the eighth event of the annual Brain -Computer Interface seasonal conference and it has been running as a successful tra…
  crossref 2020-04-10T00:23:57Z 置信度 0.70
• Peer Review #2 of "Discriminating three motor imagery states of the same joint for brain-computer interface (v0.1)"
  The classification of electroencephalography (EEG) induced by the same joint is one of the major challenges for brain-computer interface (BCI) systems.In this paper, we propose a new framework, which includes two parts, feature extraction and classification.Ba…
  crossref 2021-08-29T02:31:40Z 置信度 0.70
• Author response for "Standardization of protocol design for user training in EEG-based Brain-Computer Interface"
  crossref Jelena Mladenovic 2020-11-21T16:00:30Z 置信度 0.70
• Dreamers
  crossref Claude Clément 2019-10-08T09:08:02Z 置信度 0.70
• Pioneers
  crossref Claude Clément 2019-10-08T13:08:02Z 置信度 0.70
• Human Cognitive Aging: Maintenance Versus Dedifferentiation
  Human cognitive aging differs between and is malleable within individuals. In the absence of a strong genetic program, it is open to a host of hazards, such as vascular and metabolic risk, but also open to protective and enhancing factors, such as experience-d…
  crossref Ulman Lindenberger 2020-04-10T04:23:57Z 置信度 0.70
• POSTECH BCIs with machine learning
  This paper outlines a brief overview of brain computer interfaces (BCIs), the research on which has been conducted at POSTECH machine learning lab. It has three folds. First, matrix factorization methods are introduced, which are used to learn spectral feature…
  crossref Seungjin Choi 2014-04-15T17:17:31Z 置信度 0.70
• Design and evaluation of a multimodal control of a robotic arm with a Brain Computer Interface
  Conception et évaluation d'un contrôle multimodal d'un bras robotique avec une interface cerveau-ordinateur Les interfaces cerveau machines ont quitté le domaine de la science-fiction dans les années 70 avec la réflexion portée par Jacques Vidal sur la faisabi…
  crossref Tristan Venot 2026-04-08T11:19:31Z 置信度 0.70
• Brain - computer interface
  In this paper an algorithm providing an interface communication with a computer and the brain was used according to the rhythms of alpha, beta and mu for a number of activities such as relaxation, logical thinking and imagination of movement. For each activity…
  crossref Agata Nawrocka, Andrzej Kot 2012-07-10T17:36:46Z 置信度 0.70
• Machine learning and BCI
  Summary from only given. A main motivation for multimodal imaging has been the possibility to enhance medical diagnosis[1]. Beyond this original medical motivation the fusion of multiple modalities has created successful interesting research opportunities that…
  crossref Klaus-Robert Muller 2015-04-03T10:53:39Z 置信度 0.70
• Brain network for Chinese character processing and brain computer interface
  In this study, we used a 3T fMRI to investigate brain activations in processing characters and figures using visual discrimination tasks in which 13 Chinese subjects were shown two Chinese characters (36 pairs) or two figures (36 pairs).The control task (two f…
  crossref Xiujun Li, Jingjing Yang, Qiyong Guo, Jinglong Wu 2015-12-14T15:00:30Z 置信度 0.70
• Introduction
  crossref Claude Clément 2019-10-08T13:08:02Z 置信度 0.70
• Brain Activity During Competitive Games
  crossref Patryk Mróz 2021-03-29T04:02:31Z 置信度 0.70
• The Use of Brain-Computer Interface Technology in Intelligent Home Installations
  crossref Szczepan Paszkiel 2022-07-08T16:08:06Z 置信度 0.70
• Effects of Brain–Computer Interfaces on Upper and Lower Limb Function Rehabilitation After Stroke
  Brain–computer interfaces (BCIs) represent a form of neurotechnology that enables direct interaction with the environment by interpreting brain signals, without relying on conventional neuromuscular pathways. These systems utilize physiological signals such as…
  crossref Feilong Zhu, Yu Wu, Ming Zhang 2026-01-27T10:58:16Z 置信度 0.70
• Investigating colour’s effect in stimulating brain oscillations for BCI systems
  This paper investigates the quality and robustness of the electroencephalograph (EEG) signals elicited by various colour combinations using Steady State Visual Evoked Potential (SSVEP). The results from various colour flickers were compared against black and w…
  crossref Artur Szalowski, Dorel Picovici 2016-04-25T21:45:23Z 置信度 0.70
• Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface
  Human subjects can learn to control a one-dimensional electrocorticographic (ECoG) brain-computer interface (BCI) using modulation of primary motor (M1) high-gamma activity (signal power in the 75-200 Hz range). However, the stability and dynamics of the signa…
  crossref Tim M. Blakely, Jared D. Olson, Kai J. Miller, Rajesh P. N. Rao 等 2014-09-15T15:41:18Z 置信度 0.70
• PO028 / #643 BRAIN-COMPUTER-INTERFACE (BCI) AND NEUROMODULATION: IS THERE AN INTERSECTION?
  crossref Georgios Matis 2022-10-04T04:25:28Z 置信度 0.70
• Entropy and the Emotional Brain: Overview of a Research Field
  During the last years, there has been a notable increase in the number of studies focused on the assessment of brain dynamics for the recognition of emotional states by means of nonlinear methodologies. More precisely, different entropy metrics have been appli…
  crossref Beatriz García-Martínez, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo 2021-06-16T13:52:20Z 置信度 0.70
• Steady-state somatosensory evoked potentials for brain-controlled wheelchair
  This paper presents three-classes concentration task classification method using spatial-frequency feature of steady-state somatosensory evoked potentials (SSSEPs) for control of brain-controlled wheelchair. The feature extraction methods are based on common s…
  crossref Keun-Tae Kim, Seong-Whan Lee 2014-04-15T21:17:31Z 置信度 0.70
• Brain Painting V2: evaluation of P300-based brain-computer interface for creative expression by an end-user following the user-centered design
  Brain Painting is a brain-computer interface (BCI) application that allows for painting on a virtual canvas without requiring motor input. Following the user-centered design, we developed Brain Painting V2 (BP2) for two end-users with ALS (‘HP’ and ‘JT’) who u…
  crossref L. Botrel, E.M. Holz, A. Kübler 2015-10-23T09:39:12Z 置信度 0.70
• Chapter 3 Presentation of the Brain–Mind Interface
  crossref 2024-05-30T10:41:36Z 置信度 0.70
• The effects of visual distractors on cognitive load in a motor imagery brain-computer interface
  A brain-computer interface (BCI) is a system that translates neural activity into a practical output. Its functionality, therefore, depends not only on the computer itself, but also on the cognitive system of the user. Distractors have the potential to capture…
  crossref Zahra Emami, Tom Chau 2019-10-12T10:35:48Z 置信度 0.70
• Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Based Brain-Surgeon Interface (BSI)
  crossref L. Yao, T. Xie, Z. Wu, X. Sheng 等 2017-08-21T06:32:51Z 置信度 0.70
• Electroencephalogram based brain concentration and its human computer interface application
  Electroencephalogram (EEG) signal has been studied as a biological signal input for human-computer interaction. This research defines a control signal - focus value R to measure the concentration degree of human brain. According to frequency band, human brain …
  crossref Di Xiao, Wentao Zhang 2016-01-21T23:10:30Z 置信度 0.70
• Optical non-invasive brain-computer interface system
  The brain-computer interface systems vary due to the purpose of their application. The non-invasive photon counting system approach does not allow broad application of the technology due to its limitations, but can supply necessary information for further deve…
  crossref Solomiya Lebid 2018-05-07T18:57:36Z 置信度 0.70
• Combination of Virtual Reality and Brain Computer Interface Technology
  The application of systems combining virtual reality and brain-computer interface has gained lots of attention. In this paper, we studied three types of combined systems using namely motor imaginary, steady-state visual evoked potential, and P300. A comparison…
  crossref Yaozhi Du 2023-03-21T19:47:35Z 置信度 0.70
• Adaptive CSP with subspace alignment for subject-to-subject transfer in motor imagery brain-computer interfaces
  In brain-computer interfaces, adapting a classifier from one user to another is challenging but essential to reduce training time for new users. Common Spatial Patterns (CSP) is a widely used method for learning spatial filters for user specific feature extrac…
  crossref Yiming Jin, Mahta Mousavi, Virginia R. de Sa 2018-03-12T17:53:47Z 置信度 0.70
• A Study on Brain–Computer Interface: Methods and Applications
  crossref Annu Kumari, Damodar Reddy Edla 2022-12-17T05:02:53Z 置信度 0.70
• A Brain Computer Interface based Communication System using SSVEP and EOG
  This study aims to design a high performance communication system using steady state visual evoked potential (SSVEP) and electro-oculogram (EOG) signal. The proposed keyboard system consists of twenty three randomly chosen characters and they were indexed into…
  crossref Saravanakumar D, Ramasubba Reddy M 2020-04-16T11:40:47Z 置信度 0.70
• Using Brain Computer Interface for Synthesized Speech Communication for the Physically Disabled
  Brain Computer Interface (BCI) systems have been widely used to develop viable assistive technology for physically disabled persons. In this paper, we present the design and development of a BCI-based system for generation of synthesized speech, which works on…
  crossref Sumit Soman, B.K. Murthy 2015-04-23T00:39:37Z 置信度 0.70
• Brain Control: Human-computer Integration Control Based on Brain-computer Interface Approach
  crossref Xing-Yu WANG, Jing JIN, Yu ZHANG, Bei WANG 2014-08-04T17:01:46Z 置信度 0.70
• Boosting Workforce Potential with Human Augmentation Using Brain‐Computer Interface
  The profound effects of emerging technologies can enhance productivity while fostering a culture of excellence, community, and societal contribution; conversely, some may amplify disadvantages like injury, health disruptions, and loss of autonomy. In this cont…
  crossref Rajesh Singh, Fraiz Parveen, Praveen Kumar Malik 2026-08-14T21:23:06Z 置信度 0.70
• A Review of Innovation to Human Augmentation in Brain‐Machine Interface – Potential, Limitation, and Incorporation of AI
  The beginning of Industrial Revolution in late 1700s manifested a revolving fact in the history of humans: a phase for effective and increasing human beings/machinery interactions. In the coming decades, there were many more inventions followed, which gave ris…
  crossref T. Graceshalini, S. Rathnamala, M. Prabhanantha Kumar 2023-02-10T21:26:58Z 置信度 0.70
• Hippocampal Theta-Based Brain Computer Interface
  crossref L. C. Hoffmann, J. J. Cicchese, S. D. Berry 2014-11-01T08:57:42Z 置信度 0.70
• Perspective Chapter: Brain-Computer Interfaces in the Context of Military Medical Training – Potential, Limitations and Ethical Perspectives
  In the last two decades, the development of neurotechnology, and in particular Brain-Computer Interfaces (BCI), has made rapid progress, changing not only the face of medicine and neuroscience, but also security and defense strategies. The military industry ha…
  crossref Hristina Georgieva, Ivan Popivanov 2026-04-22T11:37:38Z 置信度 0.70
• Elon Musk’s startup eyes human testing for brain-computer interface
  crossref Kelly Servick 2019-07-17T21:10:07Z 置信度 0.70
• Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface: ‘Disentangling’ Sensorimotor Events During Brain-Computer Interface Control
  crossref Patrick D. Ganzer, Samuel C. Colachis, Michael A. Schwemmer, David A. Friedenberg 等 2021-08-28T04:02:48Z 置信度 0.70
• Data-efficient Motor Imagery Decoding in Real-time for the Cybathlon Brain-Computer Interface Race
  crossref Eduardo G. Ponferrada, Anastasia Sylaidi, A. Aldo Faisal 2018-09-27T07:19:49Z 置信度 0.70
• EEG Based Brain Computer Interface
  Abstract – Brain-Computer Interface (BCI) has added a new value to efforts being made under human machine interfaces. It has not only introduced new dimensions in machine control but the researchers round the globe are still exploring the possible uses of such…
  crossref Syed M. Saddique, Laraib Hassan Siddiqui 2009-12-14T07:49:46Z 置信度 0.70
• Brain-Computer Interface
  crossref Kwang Suk Park 2023-04-03T18:03:01Z 置信度 0.70
• The Introduction of Designing a Hybrid Brain Computer Interface System
  crossref Sorush Niknamian 2019-04-08T11:31:54Z 置信度 0.70
• Review for "Real‐time regulation of room temperature based on individual thermal sensation using an online brain–computer interface"
  crossref 2022-09-20T17:03:20Z 置信度 0.70
• A Brief Review on EEG Signal Pre-processing Techniques for Real-Time Brain-Computer Interface Applications
  Electro Encephalo Gram (EEG) is a monitoring method used in biomedical and computer science to understand brain activity. Therefore, the analysis and classification of these signals play a prominent role in estimating a person’s behavior to certain events. Man…
  openalex B Venkata Phanikrishna 2021-09-30 置信度 0.72 ElectroencephalographyBrain–computer interfaceComputer scienceInterface (matter)Signal processing
• the_neuron_001
  In Japan, we have religious meditation training to stare at one place called "AJIKAN." This real-time live performance reveals the technical and cultural connection between the Brain Control Interface and AJIKAN. During the performance, the system lets the per…
  crossref Shintaro Ono 2021-12-18T04:50:18Z 置信度 0.70
• Brain-De-Fer A Brain-Computer Interface Game for Mind Contest
  In this paper “Brain-de-fer” is presented, which is a game where two players compete against each other using their attention in a “bras-de-fer” match. A brain-computer interface is implemented to allow the players to play based on their attention. Two differe…
  crossref Konstantinos D. Georgitsaros, Konstantinos B. Palegkas, Pantelis Angelidis, Markos G. Tsipouras 2024-03-21T18:08:07Z 置信度 0.70
• Passive Brain-Computer Interfaces for Robot-Assisted Rehabilitation
  crossref Domen Novak, Benjamin Beyeler, Ximena Omlin, Robert Riener 2014-11-01T11:14:34Z 置信度 0.70
• Hydrogels in Brain–Computer Interface
  crossref 2026-06-12T12:52:24Z 置信度 0.70
• NeuroHub
  The advent of new and improved brain imaging tools in recent decades has provided significant progress in understanding the physiological and neural bases of motor and cognitive processes and behavior. As neuroimaging and brain sensing technologies are further…
  crossref Nicholas V. Grzeczkowski, Hasan Ayaz 2021-07-16T02:49:44Z 置信度 0.70
• Brain–Computer Interface Using Non-Invasive Motor Imagery and Machine Learning
  In recent years, the control of devices "by the power of the mind" has become a very controversial topic but has also been www.videleaf.com
  crossref Catalin Dumitrescu 2022-04-26T13:16:16Z 置信度 0.70
• A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers
  Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer interface systems sig…
  openalex Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica J. M. Monaghan 等 2018-01-01 置信度 0.72 Brain–computer interfaceDeep learningInterface (matter)Computer scienceHuman–computer interaction
• Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
  Brain-Computer Interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG) based BCIs are promising solutions due to their convenient and portable instruments. D…
  openalex Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang 等 2018-04-25 置信度 0.72 ElectroencephalographyBrain–computer interfaceComputer scienceConvolutional neural networkArtificial intelligence
• A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface
  openalex Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson 等 2007-01-01 置信度 0.72 SpellingComputer scienceBrain–computer interfaceInterface (matter)Human–computer interaction
• Event-related (De)synchronization (ERD/ERS) during motor imagery tasks: Implications for brain–computer interfaces
  openalex Yongwoong Jeon, Chang S. Nam, Youngjoo Kim, Min Cheol Whang 2011-04-22 置信度 0.72 Motor imageryBrain–computer interfaceMovement (music)PsychologyElectroencephalography
• A P300 Brain–Computer Interface Based on a Modification of the Mismatch Negativity Paradigm
  The P300-based brain-computer interface (BCI) is an extension of the oddball paradigm, and can facilitate communication for people with severe neuromuscular disorders. It has been shown that, in addition to the P300, other event-related potential (ERP) compone…
  openalex Jing Jin, Eric W. Sellers, Sijie Zhou, Yu Zhang 等 2015-02-26 置信度 0.72 Brain–computer interfaceOddball paradigmComputer scienceEvent-related potentialMismatch negativity
• The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions
  Stereotactic electroencephalogaphy (sEEG) utilizes localized, penetrating depth electrodes to measure electrophysiological brain activity. It is most commonly used in the identification of epileptogenic zones in cases of refractory epilepsy. The implanted elec…
  openalex Christian Herff, Dean J. Krusienski, Pieter Kubben 2020-02-26 置信度 0.72 StereoelectroencephalographyBrain–computer interfaceElectroencephalographyElectrocorticographyDeep brain stimulation
• Multitask Learning for Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) are lim-ited in their applicability in everyday settings by the current necessity to record subject-specific calibration data prior to actual use of the BCI for communication. In this pa-per, we utilize the framework of multita…
  openalex Morteza Alamgir, Moritz Grosse‐Wentrup, Yasemin Altün 2010-03-31 置信度 0.72 Brain–computer interfaceComputer scienceConstruct (python library)CalibrationArtificial intelligence
• A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
  Lack of communication causes problems for patients with neurodegenerative diseases, so the need for alternative methods is required to convey their thoughts with caretakers, friends, and family members. Brain-computer interface (BCI) is a device to control ext…
  openalex Xin Wan, Kezhong Zhang, S. Ramkumar, J. Deny 等 2019-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyInterface (matter)Computer scienceHuman–computer interaction
• Brain-computer interface with somatosensory feedback improves functional recovery from severe hemiplegia due to chronic stroke
  Recent studies have shown that scalp electroencephalogram (EEG) based brain-computer interface (BCI) has a great potential for motor rehabilitation in stroke patients with severe hemiplegia. However, key elements in BCI architecture for functional recovery has…
  openalex Takashi Ono, Keiichiro Shindo, Kimiko Kawashima, Naoki Ota 等 2014-07-07 置信度 0.72 Brain–computer interfacePhysical medicine and rehabilitationElectroencephalographySomatosensory systemMotor imagery
• Unsupervised Brain Computer Interface Based on Intersubject Information and Online Adaptation
  Conventional brain computer interfaces rely on a guided calibration procedure to address the problem of considerable variations in electroencephalography (EEG) across human subjects. This calibration, however, implies inconvenience to the end users. In this pa…
  openalex Shijian Lu, Cuntai Guan, Haihong Zhang 2009-02-20 置信度 0.72 Adaptation (eye)Brain–computer interfaceComputer scienceInterface (matter)Human–computer interaction
• Power-saving design opportunities for wireless intracortical brain–computer interfaces
  openalex Nir Even-Chen, Dante G. Muratore, Sergey D. Stavisky, Leigh R. Hochberg 等 2020-08-03 置信度 0.72 WirelessComputer scienceScalabilityChannel (broadcasting)Brain–computer interface