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• BciPy: Brain-Computer Interface Software in Python
  There are high technological and software demands associated with conducting brain-computer interface (BCI) research. In order to accelerate the development and accessibility of BCI, it is worthwhile to focus on open-source and desired tooling. Python, a promi…
  arxiv Tab Memmott, Aziz Koçanaoğulları, Matthew Lawhead, Daniel Klee 等 2020-02-16T18:36:43Z 置信度 0.78 cs.HC
• Towards Brain-Computer Interfaces for Drone Swarm Control
  Noninvasive brain-computer interface (BCI) decodes brain signals to understand user intention. Recent advances have been developed for the BCI-based drone control system as the demand for drone control increases. Especially, drone swarm control based on brain …
  arxiv Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee 2020-02-03T00:47:50Z 置信度 0.78 cs.NEeess.SP
• Wyrm, A Pythonic Toolbox for Brain-Computer Interfacing
  A Brain-Computer Interface (BCI) is a system that measures central nervous system activity and translates the recorded data into an output suitable for a computer to use as an input signal. Such a BCI system consists of three parts, the signal acquisition, the…
  arxiv Bastian Venthur, Benjamin Blankertz 2014-12-19T15:34:01Z 置信度 0.78 cs.HC
• Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
  Brain-computer interface (BCI) uses brain signals to communicate with external devices without actual control. Particularly, BCI is one of the interfaces for controlling the robotic arm. In this study, we propose a knowledge distillation-based framework to man…
  arxiv Byeong-Hoo Lee, Jeong-Hyun Cho, Byung-Hee Kwon 2022-12-14T08:13:10Z 置信度 0.78 cs.HCcs.AIcs.ROeess.SY
• Towards Forever Access for Implanted Brain-Computer Interfaces
  Designs for implanted brain-computer interfaces (BCIs) have increased significantly in recent years. Each device promises better clinical outcomes and quality-of-life improvements, yet due to severe and inflexible safety constraints, progress requires tight co…
  arxiv Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee 2024-09-26T03:11:32Z 置信度 0.78 cs.AR
• A novel multimodal approach for hybrid brain-computer interface
  Brain-computer interface (BCI) technologies have been widely used in many areas. In particular, non-invasive technologies such as electroencephalography (EEG) or near-infrared spectroscopy (NIRS) have been used to detect motor imagery, disease, or mental state…
  arxiv Zhe Sun, Zihao Huang, Feng Duan, Yu Liu 2020-04-25T08:11:50Z 置信度 0.78 cs.HCeess.SP
• Brain-Computer Interface in Virtual Reality
  We study the performance of brain computer interface (BCI) system in a virtual reality (VR) environment and compare it to 2D regular displays. First, we design a headset that consists of three components: a wearable electroencephalography (EEG) device, a VR he…
  arxiv Reza Abbasi-Asl, Mohammad Keshavarzi, Dorian Yao Chan 2018-11-13T15:52:21Z 置信度 0.78 cs.HC
• Auditory Brain-Computer Interface Paradigm with Head Related Impulse Response-based Spatial Cues
  The aim of this study is to provide a comprehensive test of head related impulse response (HRIR) for an auditory spatial speller brain-computer interface (BCI) paradigm. The study is conducted with six users in an experimental set up based on five Japanese hir…
  arxiv Chisaki Nakaizumi, Koichi Mori, Toshie Matsui, Shoji Makino 等 2013-12-15T04:54:22Z 置信度 0.78 q-bio.NCcs.HC
• Classification of Tactile Perception and Attention on Natural Textures from EEG Signals
  Brain-computer interface allows people who have lost their motor skills to control robot limbs based on electroencephalography. Most BCIs are guided only by visual feedback and do not have somatosensory feedback, which is an important component of normal motor…
  arxiv Myoung-Ki Kim, Jeong-Hyun Cho, Ji-Hoon Jeong 2020-12-11T09:32:49Z 置信度 0.78 cs.HC
• User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
  The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is proposed on the basis of multimodal augmented reality and brain-computer interact…
  arxiv S. Stirenko, Yu. Gordienko, T. Shemsedinov, O. Alienin 等 2017-04-12T21:03:52Z 置信度 0.78 cs.HCcs.AIcs.DC
• A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface
  Communication and computer interaction are important for autonomy in modern life. Unfortunately, these capabilities can be limited or inaccessible for the millions of people living with paralysis. While implantable brain-computer interfaces (BCIs) show promise…
  arxiv Hamza Peracha, Carrina Iacobacci, Tyler Singer-Clark, Leigh R. Hochberg 等 2026-01-27T07:02:08Z 置信度 0.78 cs.HC
• Personalized Brain-Computer Interface Models for Motor Rehabilitation
  We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES). Specifically, we show that BCI technology can be used to learn persona…
  arxiv Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer 等 2017-05-09T10:18:27Z 置信度 0.78 cs.HC
• Attention-based Transfer Learning for Brain-computer Interface
  Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) field. This paper presents a new approach for electroencephalography (EEG) classif…
  arxiv Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang 等 2019-04-25T06:10:09Z 置信度 0.78 eess.SPcs.AIcs.HCcs.LG
• Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
  The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data. However, the effective construction of HDTs faces significant challenges due to…
  arxiv Chen Shang, Jiadong Yu, Dinh Thai Hoang 2024-10-31T05:21:46Z 置信度 0.78 cs.HCcs.NI
• Neurofeedback-Driven 6-DOF Robotic Arm: Integration of Brain-Computer Interface with Arduino for Advanced Control
  Brain computer interface (BCI) applications in robotics are becoming more famous and famous. People with disabilities are facing a real-time problem of doing simple activities such as grasping, handshaking etc. in order to aid with this problem, the use of bra…
  arxiv Ihab A. Satam, Róbert Szabolcsi 2024-10-29T12:55:04Z 置信度 0.78 cs.ROeess.SY
• Towards Neural Co-Processors for the Brain: Combining Decoding and Encoding in Brain-Computer Interfaces
  The field of brain-computer interfaces is poised to advance from the traditional goal of controlling prosthetic devices using brain signals to combining neural decoding and encoding within a single neuroprosthetic device. Such a device acts as a "co-processor"…
  arxiv Rajesh P. N. Rao 2018-11-28T23:13:24Z 置信度 0.78 cs.AIcs.HCcs.NEq-bio.NC
• Concepts for designing modern C++ interfaces for MPI
  Since the C++ bindings were deleted in 2008, the Message Passing Interface (MPI) community has revived efforts in building high-level modern C++ interfaces. Such interfaces are either built to serve specific scientific application needs (with limited coverage …
  arxiv C. Nicole Avans, Alfredo A. Correa, Sayan Ghosh, Matthias Schimek 等 2025-06-17T15:09:44Z 置信度 0.78 cs.DC
• Brain-Computer Interface Controlled Robotic Gait Orthosis
  Reliance on wheelchairs after spinal cord injury (SCI) leads to many medical co-morbidities. Treatment of these conditions contributes to the majority of SCI health care costs. Restoring able-body-like ambulation after SCI may reduce the incidence of these con…
  arxiv An H. Do, Po T. Wang, Christine E. King, Sophia N. Chun 等 2012-08-24T18:07:43Z 置信度 0.78 cs.HCcs.RO
• Visual tracking brain computer interface
  Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs, known for efficient speed and calibration ease, face limitations in continuous tasks due…
  arxiv Changxing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen 等 2023-11-21T13:29:20Z 置信度 0.78 cs.HCcs.AIeess.SY
• Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
  This paper presents Open-source software and a developed shield board for the Raspberry Pi family of single-board computers that can be used to read EEG signals. We have described the mechanism for reading EEG signals and decomposing them into a Fourier series…
  arxiv Ildar Rakhmatulin, Sebastian Volkl 2022-02-04T01:39:48Z 置信度 0.78 cs.ROcs.AI
• Online LDA based brain-computer interface system to aid disabled people
  This paper aims to develop brain-computer interface system based on electroencephalography that can aid disabled people in daily life. The system relies on one of the most effective event-related potential wave, P300, which can be elicited by oddball paradigm.…
  arxiv Apdullah Yayik, Yakup Kutlu 2021-01-21T08:17:05Z 置信度 0.78 cs.HCcs.AI
• Sequential Best-Arm Identification with Application to Brain-Computer Interface
  A brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device or computer system. It allows individuals to interact with the device using only their thoughts, and holds immense potential for a wide …
  arxiv Xin Zhou, Botao Hao, Jian Kang, Tor Lattimore 等 2023-05-17T18:49:44Z 置信度 0.78 cs.HCcs.LGq-bio.NCstat.ML
• Brain-Computer Interfaces and Quantum Robots
  The actual (classical) Brain-Computer Interface attempts to use brain signals to drive suitable actuators performing the actions corresponding to subject's intention. However this goal is not fully reached, and when BCI works, it does only in particular situat…
  arxiv Eliano Pessa, Paola zizzi 2009-09-08T15:31:30Z 置信度 0.78 physics.gen-ph
• LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning
  Brain--computer interfaces are groundbreaking technology whereby brain signals are used to control external devices. Despite some advances in recent years, electroencephalogram (EEG)-based motor-imagery tasks face challenges, such as amplitude and phase variab…
  arxiv Jianchao Lu, Yuzhe Tian, Yang Zhang, Quan Z. Sheng 等 2025-01-09T21:51:45Z 置信度 0.78 cs.HC
• A Review of Brain-Computer Interface Technologies: Signal Acquisition Methods and Interaction Paradigms
  Brain-Computer Interface (BCI) technology facilitates direct communication between the human brain and external devices, representing a substantial advancement in human-machine interaction. This review provides an in-depth analysis of various BCI paradigms, in…
  arxiv Yifan Wang, Cheng Jiang, Chenzhong Li 2025-03-01T11:22:47Z 置信度 0.78 cs.HCcs.AI
• Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions
  In recent times, there have been significant advancements in utilizing the sensing capabilities of mobile devices for developing applications. The primary objective has been to enhance the way a user interacts with the application by making it effortless and c…
  arxiv Sumit Soman, Siddharth Srivastava, Saurabh Srivastava, Nitendra Rajput 2015-09-04T04:25:25Z 置信度 0.78 cs.HC
• Multimodal Brain-Computer Interfaces: AI-powered Decoding Methodologies
  Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. This review highlights the core decoding algorithms that enable multimodal BCIs, including a dissection of the elements, a unified view of diversified approach…
  arxiv Siyang Li, Hongbin Wang, Xiaoqing Chen, Dongrui Wu 2025-02-05T02:14:08Z 置信度 0.78 cs.HCcs.LGq-bio.NC
• Decoding Workload and Agreement From EEG During Spoken Dialogue With Conversational AI
  Passive brain-computer interfaces offer a potential source of implicit feedback for alignment of large language models, but most mental state decoding has been done in controlled tasks. This paper investigates whether established EEG classifiers for mental wor…
  arxiv Lucija Mihić Zidar, Philipp Wicke, Praneel Bhatia, Rosa Lutz 等 2026-01-09T14:59:25Z 置信度 0.78 cs.HCcs.AI
• Older Adults and Brain-Computer Interface: An Exploratory Study
  In this exploratory study, we examine the possibilities of non-invasive Brain-Computer Interface (BCI) in the context of Smart Home Technology (SHT) targeted at older adults. During two workshops, one stationary, and one online via Zoom, we researched the insi…
  arxiv Wiesław Kopeć, Jarosław Kowalski, Julia Paluch, Anna Jaskulska 等 2021-04-05T17:49:46Z 置信度 0.78 cs.HCcs.CYcs.MM
• Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces
  A brain-computer interface (BCI) is a system that aims for establishing a non-muscular communication path for subjects who had suffer from a neurodegenerative disease. Many BCI systems make use of the phenomena of event-related synchronization and de-synchroni…
  arxiv Jaime Fernando Delgado Saa, Mujdat Cetin 2016-12-27T14:17:20Z 置信度 0.78 cs.CVq-bio.NC
• Beyond visual P300 based brain-computer interfacing paradigms
  The paper reviews and summarizes recent developments in spatial auditory and tactile brain-computer interfacing neurotechology applications. It serves as the latest developments summary in "non-visual" brain-computer interfacing solutions presented in a tutori…
  arxiv Tomasz M. Rutkowski 2013-09-09T07:18:17Z 置信度 0.78 q-bio.NCcs.HC
• EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach
  This study offers a revolutionary strategy to developing wheelchairs based on the Brain-Computer Interface (BCI) that incorporates Artificial Intelligence (AI) using a The device uses electroencephalogram (EEG) data to mimic wheelchair navigation. Five differe…
  arxiv Biplov Paneru, Bishwash Paneru, Bipul Thapa, Khem Narayan Poudyal 2024-10-13T07:41:37Z 置信度 0.78 cs.HCcs.AIeess.SP
• FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data
  We introduce FathomGPT, an open source system for the interactive investigation of ocean science data via a natural language interface. FathomGPT was developed in close collaboration with marine scientists to enable researchers to explore and analyze the Fatho…
  arxiv Nabin Khanal, Chun Meng Yu, Jui-Cheng Chiu, Anav Chaudhary 等 2024-12-03T19:22:55Z 置信度 0.78 cs.HCcs.AI
• Privacy-Preserving Brain-Computer Interfaces: A Systematic Review
  A brain-computer interface (BCI) establishes a direct communication pathway between the human brain and a computer. It has been widely used in medical diagnosis, rehabilitation, education, entertainment, etc. Most research so far focuses on making BCIs more ac…
  arxiv K. Xia, W. Duch, Y. Sun, K. Xu 等 2024-12-16T02:45:37Z 置信度 0.78 cs.HC
• Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions
  Metaverse provides an alternative platform for human interaction in the virtual world. Since virtual platform holds few restrictions in changing the surrounding environments or the appearance of the avatars, it can serve as a platform that reflects human thoug…
  arxiv Seo-Hyun Lee, Young-Eun Lee, Seong-Whan Lee 2021-12-16T02:17:45Z 置信度 0.78 cs.HC
• Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface
  Visual imagery is an intuitive brain-computer interface paradigm, referring to the emergence of the visual scene. Despite its convenience, analysis of its intrinsic characteristics is limited. In this study, we demonstrate the effect of time interval and chann…
  arxiv Seo-Hyun Lee, Minji Lee, Seong-Whan Lee 2020-02-04T04:25:53Z 置信度 0.78 cs.HCq-bio.NC
• Brain Computer Interface Technologies in the Coming Decades
  As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage those …
  arxiv Brent J. Lance, Scott E. Kerick, Anthony J. Ries, Kelvin S. Oie 等 2012-11-05T15:13:45Z 置信度 0.78 cs.HCcs.ET
• Automatic Exam Evaluation based on Brain Computer Interface
  Brain computer interface applications can be used to overcome learning problems, especially student anxiety, lack of focus, and lack of attention. This paper introduces a system based on brain computer interface (BCI) to be used in education to measure intende…
  arxiv Hameda F Balat, M A El-dosuky, El-Saeed Abd M El-Razek, Magdi Z Rashed 2021-12-01T07:22:39Z 置信度 0.78 cs.HC
• Automatic Control of Reactive Brain Computer Interfaces
  This article discusses practical and theoretical aspects of real-time brain computer interface control methods based on Bayesian statistics. We investigate and improve the performance of automatic control and feedback algorithms of a reactive brain computer in…
  arxiv Pex Tufvesson, Frida Heskebeck 2023-10-11T11:47:48Z 置信度 0.78 eess.SYcs.HC
• Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior
  Motor imagery-based brain-computer interfaces (BCIs) use an individuals ability to volitionally modulate localized brain activity as a therapy for motor dysfunction or to probe causal relations between brain activity and behavior. However, many individuals can…
  arxiv Jennifer Stiso, Marie-Constance Corsi, Jean M. Vettel, Javier O. Garcia 等 2019-07-31T20:17:07Z 置信度 0.78 q-bio.NC
• Exploration of Recent Advances in the Field of Brain Computer Interfaces
  A new approach for implementing number of expressions, emotions and, actions to operate objects through the thoughts of brain using a Non-Invasive Brain Computing Interface (BCI) technique has been proposed. In this paper a survey on brain and its operations a…
  arxiv M. Rajyalakshmi, T. Kameswara Rao, T. V. Prasad 2013-02-12T11:17:20Z 置信度 0.78 cs.HCcs.ET
• Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection
  Post-training quantization (PTQ) is a technique used to optimize and reduce the memory footprint and computational requirements of machine learning models. It has been used primarily for neural networks. For Brain-Computer Interfaces (BCI) that are fully porta…
  arxiv Hubert Cecotti, Dalvir Dhaliwal, Hardip Singh, Yogesh Kumar Meena 2024-10-10T13:47:30Z 置信度 0.78 cs.HCcs.ET
• Multi-Armed Bandits in Brain-Computer Interfaces
  The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online decision is prominent in many procedures of Brain-Computer Interfaces (BCIs) and MAB…
  arxiv Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson 2022-05-19T14:24:54Z 置信度 0.78 cs.AIcs.HCeess.SY
• Building machines that adapt and compute like brains
  Building machines that learn and think like humans is essential not only for cognitive science, but also for computational neuroscience, whose ultimate goal is to understand how cognition is implemented in biological brains. A new cognitive computational neuro…
  arxiv Nikolaus Kriegeskorte, Robert M. Mok 2017-11-11T22:02:52Z 置信度 0.78 cs.AIq-bio.NC
• LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
  Neuropsychological studies suggest that co-operative activities among different brain functional areas drive high-level cognitive processes. To learn the brain activities within and among different functional areas of the brain, we propose LGGNet, a novel neur…
  arxiv Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng 等 2021-05-05T12:06:34Z 置信度 0.78 cs.NEcs.LGeess.SPq-bio.NC
• A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces
  Brain-computer interfaces are being explored for a wide variety of therapeutic applications. Typically, this involves measuring and analyzing continuous-time electrical brain activity via techniques such as electrocorticogram (ECoG) or electroencephalography (…
  arxiv Yiming Ai, Bipin Rajendran 2023-04-21T16:23:40Z 置信度 0.78 cs.NEcs.LGeess.SP
• Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
  This work proposes a novel immersive communication framework that leverages brain-computer interface (BCI) to acquire brain signals for inferring user-centric states (e.g., intention and perception-related discomfort), thereby enabling more personalized and ro…
  arxiv Chen Shang, Dinh Thai Hoang, Diep N. Nguyen, Jiadong Yu 2026-03-24T02:46:47Z 置信度 0.78 cs.LGeess.SP
• Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback
  Invasive brain-computer interface (BCI) technology has demonstrated the possibility of restoring brain-controlled walking in paraplegic spinal cord injury patients. However, current implementations of BCI-controlled walking still have significant drawbacks. In…
  arxiv Jeffrey Lim, Po T. Wang, Won Joon Sohn, Derrick Lin 等 2025-04-30T23:37:19Z 置信度 0.78 q-bio.NCcs.HC
• Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface
  In this paper, we present a novel brain computer interface based home automation system using two responses - Steady State Visually Evoked Potential (SSVEP) and the eye-blink artifact, which is augmented by a Bluetooth based indoor localization system, to grea…
  arxiv Kratarth Goel, Raunaq Vohra, Anant Kamath, Veeky Baths 2014-12-26T12:50:07Z 置信度 0.78 cs.HCeess.SY
• A Survey of Brain Computer Interface Using Non-Invasive Methods
  Research on Brain-Computer Interface (BCI) began in the 1970s and has increased in volume and diversified significantly since then. Today BCI is widely used for applications like assistive devices for physically challenged users, mental state monitoring, input…
  arxiv Ritam Ghosh 2023-09-22T19:27:03Z 置信度 0.78 cs.HCeess.SP
• A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network
  The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms. However, hybrid BCIs usually require separate processing p…
  arxiv Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu 2022-12-10T12:34:36Z 置信度 0.78 cs.LG
• A Survey on Brain-Computer Interaction
  Brain-Computer Interface(BCI) systems support communication through direct measures of neural activity without muscle activity. Brain-Computer Interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and…
  arxiv Bosubabu Sambana, Priyanka Mishra 2022-01-04T06:02:33Z 置信度 0.78 cs.HCcs.NE
• Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
  We introduce adversarial neural networks for representation learning as a novel approach to transfer learning in brain-computer interfaces (BCIs). The proposed approach aims to learn subject-invariant representations by simultaneously training a conditional va…
  arxiv Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus 2018-12-17T15:53:53Z 置信度 0.78 cs.LGcs.HCeess.SP
• Imagined Speech State Classification for Robust Brain-Computer Interface
  This study examines the effectiveness of traditional machine learning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Specifically, we evaluated conventional machine learning techniques such as CSP-SVM…
  arxiv Byung-Kwan Ko, Jun-Young Kim, Seo-Hyun Lee 2024-12-15T23:59:55Z 置信度 0.78 cs.LGcs.AIcs.SDeess.AS
• User Identity Protection in EEG-based Brain-Computer Interfaces
  A brain-computer interface (BCI) establishes a direct communication pathway between the brain and an external device. Electroencephalogram (EEG) is the most popular input signal in BCIs, due to its convenience and low cost. Most research on EEG-based BCIs focu…
  arxiv L. Meng, X. Jiang, J. Huang, W. Li 等 2024-12-13T04:48:33Z 置信度 0.78 cs.HCcs.CReess.SP
• AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications
  Non-invasive Brain-Computer Interfaces (BCI) offer a safe and accessible means of connecting the human brain to external devices, with broad applications in home and clinical settings to enhance human capabilities. However, the high noise level and limited tas…
  arxiv Jiamin Wu, Zichen Ren, Junyu Wang, Pengyu Zhu 等 2025-07-14T03:37:41Z 置信度 0.78 cs.LG
• A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
  Brain-computer interfaces (BCIs), transform neural signals in the brain into in-structions to control external devices. However, obtaining sufficient training data is difficult as well as limited. With the advent of advanced machine learning methods, the capab…
  arxiv Shengjie Zheng, Wenyi Li, Lang Qian, Chenggang He 等 2022-03-26T15:32:31Z 置信度 0.78 q-bio.NCcs.AI
• Dendrite: A Real-Time Python Application for Online Brain-Computer Interface Research and Development
  Online brain-computer interface research requires software that can acquire multimodal physiological data, train and update decoders, run live inference, and preserve the full experimental provenance in a reproducible workflow. We present Dendrite, a real-time…
  arxiv Niko Kroflic, Jan Babič 2026-07-16T07:22:22Z 置信度 0.78 cs.HC
• 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 …
  arxiv Ildar Rakhmatulin, Sebastian Volkl 2022-01-05T12:15:44Z 置信度 0.78 cs.HCcs.RO
• Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -
  This paper presents an applied concept of a brain-computer interface (BCI) student research laboratory (BCI-LAB) at the Life Science Center of TARA, University of Tsukuba, Japan. Several successful case studies of the student projects are reviewed together wit…
  arxiv Tomasz M. Rutkowski 2015-06-13T05:15:33Z 置信度 0.78 q-bio.NCcs.HCcs.RO
• Brain-computer interface for stroke rehabilitation with clinical studies
  Summary form only given. Stroke is the leading cause of severe disabilities in the developed world. Each year, there are around 15 million new stroke cases worldwide. About 30% of stroke survivors need various forms of rehabilitation. Among these, upper limb w…
  crossref Cuntai Guan 2013-04-26T19:28:33Z 置信度 0.70
• Application of Brain–Computer Interface in Intelligent Transportation Systems
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• Emotion Recognition Based on Brain-Computer Interface Systems
  Emotions are intrinsically related to the way that individuals interact with each other as well as machines [1]. A human being can understand the emotional state of another human being and behave in the best manner to improve the communication in a certain sit…
  crossref Taciana Saad, Angelo Perkusich 2013-06-06T06:46:35Z 置信度 0.70
• Brain–Computer Interface‐Based Real‐Time Movement of Upper Limb Prostheses Topic
  The early development of Human-Computer Interaction (HCI) was limited to a couple of external computer interfaces, like the keyboard, mouse, or graphical user interface, to enable users to communicate easily with the computer. Modern HCI includes input interfa…
  openalex S. Vairaprakash, S. Rajagopal 2023-02-10 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)JoystickFeature extraction
• Hierarchical Transformer for Brain Computer Interface
  In this paper, we propose a novel hierarchical trans-former classification algorithm for the brain computer interface (BCI) using a motor imagery (MI) electroencephalogram (EEG) signal. The reason of using the transformer-based is catch the information within …
  crossref Permana Deny, Kae Won Choi 2023-03-28T18:11:47Z 置信度 0.70
• Insights of Brain–Computer Interface Technology on Urban Transportation Planning
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• 2016 4th International Winter Conference on Brain-Computer Interface (BCI) - cover
  crossref 2016-05-04T20:43:25Z 置信度 0.70
• Brain–Computer Interface and the Operation of Vehicles, Ships, and Aircraft
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• Wearable hybrid brain-computer interface for daily life application
  We present the development of a wearable hybrid interface based on noninvasive brain signal detection and eye-gaze tracking, and its evaluation through scenarios based on real-world application. Our system combines a low-cost Electroencephalogram (EEG) headset…
  crossref Yongwon Kim, Sungho Jo 2015-04-03T14:53:39Z 置信度 0.70
• Neuromodulation ethics: Preparing for brain–computer interface medicine
  Brain–computer interface (BCI) technology is moving from research to clinical practice. Devices that detect seizure patterns and provide preemptive neurostimulation are in clinical use, and significant advancements have been made in BCI-based control of neurop…
  crossref Eran Klein 2017-09-21T09:28:13Z 置信度 0.70
• Towards Brain-Machine Intelligence: Co-Evolution Brain-Computer Interface
  Brain-computer interfaces (BCIs) enable direct information exchange between the human brain and external devices withoutrelying on peripheral nerves and muscles. Over the past five decades, BCI research has progressed from the design of communicationinterfaces…
  crossref Dong Ming, Jie Mei, Min-peng Xu 2026-03-31T10:05:15Z 置信度 0.70
• Ethical and social issues behind brain-computer interface
  In accordance with the rapid growing of the brain-computer interface (BCI) technologies, there have been great concerns on researches and their practical applications in terms of the ethical and social issues. In this paper, we first briefly introduce the stat…
  crossref Kyeong-Yeon Lee, Dayk Jang 2013-04-26T19:28:33Z 置信度 0.70
• Brain Control: Human-computer Integration Control Based on Brain-computer Interface
  摘要: 近年来,一类被称之为脑控的新型控制系统发展迅速, 这是一种基于脑--机接口(Brain-computer interface, BCI)的人机融合控制系统, 也是一种基于人的意念和思维的控制系统. 脑控系统已被成功应用于残疾人的生活辅助、中风病人和损伤肢体的康复训练、 操作员状态的实时监控、游戏娱乐和智能家居等广泛的领域. 本文在简要介绍了脑控的研究背景、基本原理、系统结构和发展概况的基础上, 着重对脑电信号(Electroencephalogram, EEG)模式、控制信号转换算法和应用系统研究等主要问题…
  crossref Xing-Yu WANG, Jing JIN, Yu ZHANG, Bei WANG 2014-03-21T01:35:36Z 置信度 0.70
• Invasive Brain-Computer Interface (BCI) for Communication
  crossref Ujwal Chaudhary 2025-03-19T21:44:17Z 置信度 0.70
• Brain computer interface approach using sensor covariance matrix with forced whitening
  In this paper, we present a novel motor imagery classification method in electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) using forced whitened sample covariance matrices as features. The proposed method performs a constant-forcing to the we…
  crossref Hyuksoo Shin, Wonzoo Chung 2017-02-20T16:35:38Z 置信度 0.70
• An Introduction to Brain-Computer Interface Systems
  This chapter introduces the concept of Brain-Computer Interfaces (BCIs), systems that enable direct communication between the brain and external devices, enhancing human capabilities and improving quality of life for individuals with various conditions. BCIs i…
  crossref Faridoddin Shariaty, Sanjiban Sekhar Roy 2025-05-23T11:21:24Z 置信度 0.70
• Brain Computer Interface for Epilepsy Treatment
  A brain computer interface (BCI) is a communication system converting neural activities into signals that can control computer cursors or external devices (Fetz, 2007). BCI was initially and mainly employed for patients with severe motor disorders such as amyo…
  crossref L. Huang, G. van 2013-06-06T06:46:35Z 置信度 0.70
• Brain–Computer Interface and Traffic Signal Control
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• Visuo-Motor Tasks in a Brain-Computer Interface Analysis
  The neurophysiological studies covered by the subject of Brain-Computer Interfaces (BCIs) (del R. Millan et al., 2004; Lebedev & Nicolelis, 2006; Wolpaw et al., 2002) represent a promising, but so far rather undiscovered, area of research. What is perhaps the …
  crossref Vito Logar, Ale Beli 2012-03-29T04:24:04Z 置信度 0.70
• Data-driven brain computer interface in real environments
  Since brain signals measured in real environments should vary due to the variation in brain states and to the various kinds of noises existing in the environments. To develop practical brain computer interface (BCI) systems that cope with such inevitable varia…
  crossref Shin Ishii 2015-04-03T10:53:39Z 置信度 0.70
• A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities
  Abstract Development of the next generation of bio- and nano-electronics is inseparably connected to the innovative concept of emulation and reproduction of biological sensorimotor systems and artificial neurobotics. Here, we report for the first time principa…
  openalex Mohammad Karbalaei Akbari, Serge Zhuiykov 2019-08-27 置信度 0.72 Computer scienceNanotechnologyMaterials science
• fNIRS-based Neurorobotic Interface for gait rehabilitation
  BACKGROUND: In this paper, a novel functional near-infrared spectroscopy (fNIRS)-based brain-computer interface (BCI) framework for control of prosthetic legs and rehabilitation of patients suffering from locomotive disorders is presented. METHODS: fNIRS signa…
  openalex Rayyan Azam Khan, Noman Naseer, Nauman Khalid Qureshi, Farzan Majeed Noori 等 2018-02-05 置信度 0.72 Support vector machineLinear discriminant analysisBrain–computer interfaceArtificial intelligenceComputer science
• Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics.
  In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on neuromorphic hardware using tools they are already familiar with, such as Keras …
  openalex Travis DeWolf, Pawel Jaworski, Chris Eliasmith 2020-01-01 置信度 0.72 Computer scienceNeuromorphic engineeringSpiking neural networkPython (programming language)Interfacing
• Neurorobotic fusion of prosthetic touch, kinesthesia, and movement in bionic upper limbs promotes intrinsic brain behaviors
  Bionic prostheses have restorative potential. However, the complex interplay between intuitive motor control, proprioception, and touch that represents the hallmark of human upper limb function has not been revealed. Here, we show that the neurorobotic fusion …
  openalex Paul D. Marasco, Jacqueline S. Hebert, Jonathon W. Sensinger, Dylan T. Beckler 等 2021-09-02 置信度 0.72 ProprioceptionGRASPStimulus modalitySensory systemModalities
• The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians
  Most studies and reviews on robots for neurorehabilitation focus on their effectiveness. These studies often report inconsistent results. This and many other reasons limit the credit given to these robots by therapists and patients. Further, neurorehabilitatio…
  openalex Marco Iosa, Giovanni Morone, Andrea Cherubini, Stefano Paolucci 2016-02-01 置信度 0.72 NeurorehabilitationRobotRoboticsEngineering ethicsWork (physics)
• A neurorobotic platform to test the influence of neuromodulatory signaling on anxious and curious behavior
  The vertebrate neuromodulatory systems are critical for appropriate value-laden responses to environmental challenges. Whereas changes in the overall level of dopamine (DA) have an effect on the organism's reward or curiosity-seeking behavior, changes in the l…
  openalex Jeffrey L. Krichmar 2013-01-01 置信度 0.72 Computer scienceTest (biology)Human–computer interactionBiologyPaleontology
• Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch
  Giving robots the ability to classify surface textures requires appropriate sensors and algorithms. Inspired by the biology of human tactile perception, we implement a neurorobotic texture classifier with a recurrent spiking neural network, using a novel semis…
  openalex Ken E. Friedl, Aaron R. Voelker, Angelika Peer, Chris Eliasmith 2016-01-01 置信度 0.72 Computer scienceArtificial intelligenceNeuromorphic engineeringPattern recognition (psychology)Feature extraction
• Neurorobotics: From Vision to Action
  openalex Patrick van der Smagt, Michael A. Arbib, Giorgio Metta 2016-01-01 置信度 0.72 NeuroethologyArtificial intelligenceAction (physics)CreaturesRobotics
• Neurorobotic Models in Neuroscience and Neuroinformatics
  openalex Anil K. Seth, Olaf Sporns, Jeffrey L. Krichmar 2005-01-01 置信度 0.72 NeuroinformaticsAttendanceSet (abstract data type)DisseminationComputer science
• Design Principles for Neurorobotics
  In their book “How the Body Shapes the Way We Think: A New View of Intelligence,” Pfeifer and Bongard put forth an embodied approach to cognition. Because of this position, many of their robot examples demonstrated “intelligent” behavior despite limited neural…
  openalex Jeffrey L. Krichmar, Tiffany J. Hwu, Tiffany Hwu 2022-05-25 置信度 0.72 Computer scienceEmbodied cognitionCognitive scienceRobotHuman–computer interaction
• Virtual neurorobotics (VNR) to accelerate development of plausible neuromorphic brain architectures
  Traditional research in artificial intelligence and machine learning has viewed the brain as a specially adapted information-processing system. More recently the field of social robotics has been advanced to capture the important dynamics of human cognition an…
  openalex Philip H. Goodman 2007-01-01 置信度 0.72 Neuromorphic engineeringComputer scienceComputer architectureArtificial intelligenceHuman–computer interaction
• ROS-Neuro: An Open-Source Platform for Neurorobotics
  The growing interest in neurorobotics has led to a proliferation of heterogeneous neurophysiological-based applications controlling a variety of robotic devices. Although recent years have seen great advances in this technology, the integration between human n…
  europepmc Luca Tonin, Gloria Beraldo, Stefano Tortora, Emanuele Menegatti 2022 置信度 0.80 Computer scienceRoboticsArtificial intelligenceNeurorehabilitationRobot
• Neurorobotics—A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots
  Neurorobots are robots whose control has been modeled after some aspect of the brain. Since the brain is so closely coupled to the body and situated in the environment, Neurorobots can be a powerful tool for studying neural function in a holistic fashion. It m…
  openalex Jeffrey L. Krichmar 2018-07-16 置信度 0.72 Computer scienceThrivingRobotSituatedPerspective (graphical)
• Editorial: Robust Artificial Intelligence for Neurorobotics
  Neural computing is a powerful paradigm that has revolutionized machine learning. Building from early roots in the study of adaptive behavior and attempts to understand information processing in parallel and distributed neural architectures, modern neural netw…
  openalex Joe Hays, Subramanian Ramamoorthy, Christian Tetzlaff 2021-12-16 置信度 0.72 Computer scienceArtificial intelligenceFront (military)EngineeringMechanical engineering
• Mechatronic System Design and Development of iROD: EMG Controlled Bionic Prosthesis for Middle- Third Forearm Amputee
  In Peru, 5.2% of all the population are people with motor disabilities. Some of these with congenital malformations or forearm amputations suffer from difficulties within society to carry out their activities of daily living. Many times, they choose to use a c…
  openalex Richard A. Vergaray, Roger F. Del Aguila, Gladys A. Avellaneda, Ricardo Palomares 等 2021-10-12 置信度 0.72 ProsthesisForearmMechatronicsArtificial limbsAmputation
• Multisensory bionic limb to achieve prosthesis embodiment and reduce distorted phantom limb perceptions
  International audience
  openalex Giulio Rognini, Francesco M. Petrini, Staniša Raspopović, Giacomo Valle 等 2018-08-12 置信度 0.72 Phantom limbNeuroprostheticsSensationForearmProsthesis
• Stretchable silicon nanoribbon electronics for skin prosthesis
  openalex Jaemin Kim, Min‐Cheol Lee, Hyung Joon Shim, Roozbeh Ghaffari 等 2014-12-09 置信度 0.72 Materials scienceElectronic skinElectronicsStretchable electronicsFlexible electronics
• A Review of Existing Transtibial Bionic Prosthesis: Mechanical Design, Actuators and Power Transmission
  Transtibial and transfemoral amputations are the most common amputations in the world, loss of lower extremity result in impaired function extremities and also body balance. A prosthesis is a medical device designed to replace a specific body part to restore f…
  openalex Ade Reza Ismawan, Rifky Ismail, Tony Prahasto, Mochammad Ariyanto 等 2022-01-06 置信度 0.72 ProsthesisGaitPhysical medicine and rehabilitationAmputationPreferred walking speed
• The bionic eye (electronic visual prosthesis): A review
  The concept of a visual prosthesis for the blind or partially sighted is not a new one. Indeed, for more than three decades this technology based treatment for blindness has appeared imminent. Despite the concerted efforts of numerous physicians, scientists an…
  openalex Gregg J. Suaning, Nigel H. Lovell, Klaus Schindhelm, Minas T. Coroneo 1998-08-01 置信度 0.72 BlindnessVisual prosthesisProsthesisOptometryRetinal Prosthesis
• Bionic design and verification of 3D printed PEEK costal cartilage prosthesis
  openalex Chenguang Zhang, Ling Wang, Jianfeng Kang, Oscar Martel 等 2019-12-20 置信度 0.72 Costal cartilageRib cageCartilagePeekUltimate tensile strength