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Virtual reality (VR) technology has made remarkable progress in recent years and will be widely used in the future. As a bridge for information exchanges between users and VR systems, the interaction interface is pivotal for providing users with a good experie…
openalex
Meng-Xi Chen, Huicong Hu, Ruiqi Yao, Longhu Qiu 等
2024-09-25
置信度 0.72
Interface (matter)Computer scienceVirtual realityHuman–computer interactionFocus (optics)
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Advances in the fields of neuroscience and computer science have greatly enhanced the human brain’s ability to communicate and interact with the surrounding environment. In addition, recent steps in machine learning (ML) have increased the use of electroenceph…
openalex
Ferdi Ahmed Yassine, Abdelkader Ghazli, Ghazli Abdelkader
2024-04-05
置信度 0.72
Brain–computer interfaceComputer scienceElectroencephalographyHyperparameterInterface (matter)
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Current advancements within the realm of computational neuroscience, combined with the transformative capabilities of artificial intelligence (AI), have opened new paths for understanding the human brain’s interconnected complexity. This research exploration i…
openalex
Zarif Bin Akhtar, Victor Stany Rozario
2025-03-19
置信度 0.72
ElectroencephalographyNeuroscienceCognitive sciencePsychologyComputational neuroscience
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Transmitting meaningful information into brain circuits by electronic means is a challenge facing brain-computer interfaces. A key goal is to find an approach to inject spatially structured local current stimuli across swaths of sensory areas of the cortex. He…
pubmed
Ah‐Hyoung Lee, Ji-Hun Lee, Vincent Leung, L.E. Larson 等
2024 Nov 21
置信度 0.82
MicrostimulationComputer scienceWirelessBrain–computer interfaceNeuroscience
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ASD, or Autism Spectrum Disorder, is a complex neurodevelopmental disorder that significantly impacts an individual's social communication abilities and overall communication skills. Traditional diagnostic methods for ASD face several challenges, including a h…
crossref
Yuqi Wang
2024-12-06T04:24:56Z
置信度 0.70
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Abstract. Traditional rigid electronic materials for brain-computer interface cannot work stably and will cause rejection reactions and inflammation of the brain. In response, scientists have tried new strategies to develop flexible bioelectronic materials tha…
crossref
Muyuan Tang
2024-11-22T08:29:36Z
置信度 0.70
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Brain-computer interface to treat depression is a very important new therapy that is highly effective without side effects. Depression is an growing mental health problem that affects the quality of life of hundreds of millions of people worldwide. Traditional…
crossref
Qiguang Li
2024-07-25T06:29:11Z
置信度 0.70
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<abstract> <p>A new method of environmental control that does not depend on motor functions is eagerly awaited to support independent living for people with severe quadriplegia. In this study, we conducted an exploratory case study of brain state d…
crossref
Akira Masuo, Takuto Sakuma, Shohei Kato
2024-06-11T02:34:32Z
置信度 0.70
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Brain-computer interface (BCI) technology represents a means of facilitating human-computer interaction. One of the most widely accepted paradigms of brain-computer interface is motor imagery, which enables the recognition of electroencephalogram (EEG) signals…
crossref
Hongchang Cao
2024-11-28T22:43:51Z
置信度 0.70
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In this work, we study the problem of cross-subject motor imagery (MI) decoding from electroencephalography (EEG) data. Multi-subject EEG datasets present several kinds of domain shifts due to various inter-individual differences (e.g. brain anatomy, personali…
crossref
Georgios Zoumpourlis, Ioannis Patras
2024-04-02T18:37:26Z
置信度 0.70
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In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visua…
crossref
Frida Heskebeck, Pex Tufvesson
2024-07-24T17:48:23Z
置信度 0.70
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Brain-computer interfaces (BCIs) are devices that connect the human brain to an effector via a computer and electrode interface. BCIs may also transmit sensory data to the brain. We describe progress with the many types of surgically implanted BCIs, in which e…
pubmed
Jeffrey V. Rosenfeld, Rosenfeld JV
2024
置信度 0.82
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Implantable Brain Computer Interfaces (BCIs) are intended to investigate brain function, send control signals for prosthetic devices in real time, and/or replace lost sensory data due to illness or injury. In this paper, brain implanted antenna designs, analys…
crossref
Rakhshanda Jabeen, A.Q Ansari, Vibhakar Shrimali
2024-11-19T13:38:53Z
置信度 0.70
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Standard machine learning methods suffer distribution shifts between training and test data. This is an extended abstract of my talk on distribution shift adaptation.
crossref
Masashi Sugiyama
2024-04-02T18:37:26Z
置信度 0.70
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Abstract Introduction PSG (Polysomnography) as a traditional instrument for multi-modal monitoring device, has been considered as golden standard for sleep related vital sign monitoring for many decades. But it is sometimes considered burdensome due to its wet…
crossref
Yu Sun
2024-04-20T05:33:40Z
置信度 0.70
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crossref
2023-12-31T19:01:57Z
置信度 0.70
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Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. Electroencephalography(EEG)-based noninvasive BCIs are frequently used for medical applications. These applications allow users with motor dysfunction to contr…
crossref
Ataru Nihei, Reo Hirano, Keita Watanabe
2024-10-10T07:16:52Z
置信度 0.70
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With the current continuous development of braincomputer interface technology, significant progress has been made in both signal processing and application areas. The ability to control external devices using EEG signals has opened up new possibilities in medi…
crossref
Wenxiang Wang
2026-01-25T00:47:46Z
置信度 0.70
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With the current continuous development of brain-computer interface technology, significant progress has been made in both signal processing and application areas. The ability to control external devices using EEG signals has opened up new possibilities in med…
crossref
Wenxiang Wang
2024-12-31T20:48:52Z
置信度 0.70
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Neurorehabilitation is a very important area that aims at bettering lives of patients who have neurological disorders and have severely damaged motor functions and impaired communications abilities. Brain-Computer Interface (BCI) technology has emerged as one …
crossref
Jingjing Zhu
2024-11-26T01:10:42Z
置信度 0.70
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Human emotions are erratic, and so are their brain signals throughout the day. Brain-computer interface devices must handle high signal throughputs in the form of electroencephalography from different areas of the human brain for us to learn more about these e…
crossref
Ziyan Fan
2024-04-02T08:29:36Z
置信度 0.70
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In recent years, the development of brain-computer interface (BCI) and exoskeleton technology has received more and more attention. Brain-computer interface, a technology that allows the human brain to communicate with electronic devices or computer programs, …
crossref
Liming Lin
2024-01-30T02:05:08Z
置信度 0.70
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This paper provides a comprehensive review of current research advances in emotional brain-computer interfaces. We introduce an approach to classifying emotions and highlight the two main datasets used for emotion recognition (DEAP and SEED). Subsequently, an …
crossref
Chengyu Jia
2024-02-02T03:44:29Z
置信度 0.70
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The article considers the process of control of spatial movement of the SCARA-type robot-manipulator with the use of the visual evoked potentials (VEP) based brain-computer interface (BCI). The design and general layout of the control system of the control obj…
crossref
Oleg Filipovich, Vyacheslav Kamtsev, Mikhail Maistrishin
2024-05-08T17:29:46Z
置信度 0.70
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People have long desired for the ability to communicate with technology merely by thought or for the creation of gadgets that can see into the minds and thoughts of others. Ancient mythology and contemporary science fiction stories are two examples of how thes…
crossref
Sheshank Mahipal, Satyam Aggarwal, Pritika Goel
2024-03-20T18:13:50Z
置信度 0.70
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In the realm of neuroscience, one of the most profound topics of investigation is brain tumors, as they greatly influence brain operations and overall health. These brain tumors can be classified into two types. The two types are malignant and benign tumors. W…
crossref
Akshwin T, Debashish Dash
2025-02-19T18:39:08Z
置信度 0.70
-
crossref
David King, Tim Marsh, Claudio Pizzolato
2024-10-31T00:03:55Z
置信度 0.70
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Code modulated Visually Evoked Potentials (cVEP) is an emerging paradigm for Brain-Computer Interfaces (BCIs) that offers reduced calibration times.However, cVEP-based BCIs still encounter challenges related to cross-session/subject variabilities.As Riemannian…
crossref
Sébastien VELUT, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais
2024-09-09T13:23:50Z
置信度 0.70
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A P300 brain-computer interface (BCI) is a paradigm that decodes text characters using event-related potentials (ERPs).In a widely used implementation known as the P300 speller, a subject looks at a display with flashing characters and pays attention to one ch…
crossref
Dr .M. Manoj Prabu, D. M. Bavasri, Mr. A. Seenu, Ms. L. Sharmi Antonyammal
2024-05-26T10:04:51Z
置信度 0.70
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Accurate and timely detection of seizures in epilepsy always remain as a challenge in clinical practice, often requiring visual analysis of large amount of data. In this paper we present a novel web-based application for real time detection of seizures from lo…
crossref
Swathy Ravi, Ashalatha Radhakrishnan
2025-02-19T18:39:08Z
置信度 0.70
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This paper presents a first step towards controlling a neuroprosthesis or an exoskeleton with the power of one's mind. In this experiment, a brain-computer interface was used to control a humanoid robot, achieving an average accuracy of 88.53% across all users…
crossref
Mitocaru Alexandru, Buzamat Alexandru, Poboroniuc Marian-Silviu, Irimia Danut Constantin 等
2024-12-26T19:06:11Z
置信度 0.70
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Brain-computer interface (BCI) technology has progressively emerged as an influential instrument for addressing the challenges faced by individuals with neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic loateral scler…
crossref
Anqi Dai
2024-07-24T08:10:21Z
置信度 0.70
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The brain-computer interface (BCI) establishes a connection between a device and the human brain, with electroencephalography (EEG) signal is being used as the most common means for such a communication. We use EEG signal data that has a very limited number of…
crossref
Subrato Bharati, M. Omair Ahmad, M. N. S. Swamy
2024-07-02T17:22:52Z
置信度 0.70
-
crossref
Surajit Bhattacharya, Kaushik Bhattacharya
2024-04-05T04:02:04Z
置信度 0.70
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Naturalistic paradigms, which incorporate sensory stimuli commonly encountered in daily life, have garnered widespread attention in psychology and neuroscience in recent years. This study proposed an auditory brain-computer interface (BCI) system based on natu…
crossref
Jiajun Zhang, Zhiwei Yi, Fei Wang
2025-02-12T18:16:38Z
置信度 0.70
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As brain-computer interface (BCI) systems have gained prominence, the demand for automated interpretation of surveillance images has escalated, driven by increased surveillance capabilities and reduced personnel, especially in military contexts. Electroencepha…
crossref
Eunji Won, Seongyeon Lim, Yeomin Kim, Suh-Yeon Dong
2024-04-02T18:37:26Z
置信度 0.70
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The aim of this paper is to study and implement a brain-computer interface (BCI)-based control system for a bionic manipulator, which achieves non-intrusive control of the manipulator by combining the modules of EEG signal acquisition, signal pre-processing, f…
crossref
Wenhan Tang
2025-01-07T19:22:21Z
置信度 0.70
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A high-performance real-time brain-computer interface system capable of identifying dreams has potential for healthcare applications.To address this, we use electroencephalogram (EEG) data from non-rapid eye movement sleep to classify dream experience and noex…
openalex
Mithila Packiyanathan, André Torvestad, Marta Molinas, Luis Alfredo Moctezuma Pascual
2024-01-01
置信度 0.72
ElectroencephalographyDecoding methodsBrain–computer interfaceDreamComputer science
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As an interdisciplinary technology, Brain Computer Interface(BCI) combines the knowledge of neuroscience, biomedical engineering, machine learning and other fields, and is gradually changing people's life and work style. The purpose of this article is to study…
crossref
Manfei Lo
2024-04-18T03:47:46Z
置信度 0.70
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In this shortform book, Sun, French, and Unnithan explore state- of- the- art optical recording techniques, with a focus on the revolutionary miniaturized fluorescence microscope – the miniscope – for real- time and in vivo monitoring of multi- neuronal dynami…
crossref
Dechuan Sun, Chris French, Ranjith R Unnithan
2024-09-13T13:23:16Z
置信度 0.70
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ADHD is a common neurodevelopmental disorder that affects about 3%-6% of the global population. Traditional treatments such as medication may be effective, but long-term use may bring side effects. In recent years, eletroencephalography(EEG)-based neurofeedbac…
crossref
Guanru Jiang
2024-06-06T16:01:06Z
置信度 0.70
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The precision of fetal biometric measurements in obstetric examinations highly relies on the quality of the acquired Ultrasound Images(US). Biometric measurements of the head such as the head circumference has a direct correlation with gestational age, which i…
crossref
Swetha Lakshmi, Durga Rajasekar, Aparna Purayath, Vivek Maik 等
2025-02-19T18:39:08Z
置信度 0.70
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In the quest for efficient neural network models for neural data interpretation and user intent classification in brain-computer interfaces (BCIs), learning meaningful sparse representations of the underlying neural subspaces is crucial. The present study intr…
crossref
Hye-Bin Shin, Kang Yin, Seong-Whan Lee
2024-04-02T18:37:26Z
置信度 0.70
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Brain-computer interfaces (BCIs) are designed to bridge the gap between human neural activity and external devices. Previous studies have shown that speech and text can be decoded from signals recorded from intracranial electrodes.1 Such applications can be us…
crossref
Shurui Li, Yuanning Li, Ru‐Yuan Zhang
2024-10-08T16:45:15Z
置信度 0.70
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Brain–computer interfaces (BCIs) can provide a non-muscular channel of control to stroke patients for motor rehabilitation. This can be achieved through the use of motor imagery (MI) training, involving the modulation of sensorimotor rhythms. The practice of M…
crossref
Diogo Batista, Gustavo Caetano, Mathis Fleury, Patricia Figueiredo 等
2023-10-19T05:57:14Z
置信度 0.70
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This paper presents a study on the application of Machine Learning (ML) methods for recognizing Marathi words using Brain-Computer Interface (BCI) system. The research aims to address communication challenges faced by Marathi-speaking patients with neurodegene…
crossref
Shubham Tayade, Chittaloori Likhitha, S. Sumitra, B. S. Manoi
2024-11-19T18:38:53Z
置信度 0.70
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This paper investigates several machine learning methods employed in brain-computer interface applications and focuses on their use in addressing overfitting and improving prediction accuracy. Firstly, the concept of L2 regularization and its role in model tra…
crossref
2024-08-23T03:30:36Z
置信度 0.70
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This paper presents the design of a brain-computer interface (BCI) system that receives and analyses electroencephalography (EEG) signals to determine commands for drone control. To achieve this, we used an 8-channel wearable EEG headset (Fp1, Fp2, Fz, C3, C4,…
crossref
Pei-Shin Lu, Li-Wei Ko
2024-08-05T17:26:45Z
置信度 0.70
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A Brain-Computer Interface (BCI) represents an innovative system created to allow a communication between the human brain and a device in order to enhance the lives of disabled individuals. BCI systems decode user intentions using brain signals, detected throu…
crossref
Safia Azzougui, Aicha Reffad, Kamel Mebarkia
2024-07-08T17:22:03Z
置信度 0.70
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Expressing basic needs may seem like a simple task, but not for those with deteriorated or lost ability to speak and move. This paper presents the design, application, and testing of an alternative communication system based on Brain Computer Interface (BCI). …
crossref
Raheeq Darweesh, Dustin Cuscino, Andrew Geronimo, Nashwa Elaraby
2024-07-31T20:39:16Z
置信度 0.70
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Current vehicle ideal models have been made conceivable by the advancement of present day innovation, controlling vehicles which become the expansions of human brain. To empower nerve-directed vehicle moves, this paper presents a momentous strategy known as “M…
crossref
R Latha, R Vamsinath, T Thirupathi, S Kanagamalliga 等
2024-06-06T17:21:51Z
置信度 0.70
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In the field of brain-computer interface (BCI), by accurately capturing and analyzing brain neural signals, building a bridge of direct communication between people and digital devices, it has shown great application potential and prospects. Despite this, effi…
crossref
Mingda Santos
2025-02-06T18:32:50Z
置信度 0.70
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This study delves into integrating biofeedback into human-computer interaction, with a specific focus on designing and assessing brainwave healing music. In a rapidly evolving external environment shaped by industrialization, effective emotion management has e…
crossref
Jiayu Shao, Puhong Qin
2024-11-12T18:35:40Z
置信度 0.70
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The emergence of brain-computer interface technology has changed the way of interacting between people and the computer. By applying this technology to individuals with impairments, it is possible to help them regain their mobility. Consequently, exoskeleton r…
crossref
Ian Baek, Sojung Min
2025-08-25T19:44:26Z
置信度 0.70
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This paper investigates the application of Brain-Computer Interface (BCI) technology in the realms of emotion recognition and regulation. BCI technology facilitates direct communication between the brain and external devices, offering significant promise for i…
crossref
Yichen Liu
2024-12-06T03:50:25Z
置信度 0.70
-
crossref
Natasha Padfield, Andrei Agius Anastasi, Tracey Camilleri, Simon Fabri 等
2024-10-15T13:57:00Z
置信度 0.70
-
crossref
Jun Su Kim, HongJune Kim, Chun Kee CHUNG, June Sic Kim
2024-02-20T07:21:50Z
置信度 0.70
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Recently, a large attention has been attracted to the brain-computer human-machine interfaces (BCI) based on electroencephalography (EEG). This emerging technology allows touchless control over digital systems, in which the commands are based on human brain ac…
crossref
D.A. Chiruhin, K.V. Ryabinin
2024-12-23T06:19:02Z
置信度 0.70
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Nowadays, BCI-VR (Brain-Computer Interface with Virtual Reality) integration is a hot technology. There is an urgent need for immersive experiences and better neurorehabilitation tools, so researchers are focusing on BCI-VR integration technology. However, BCI…
crossref
Haoqi Li
2024-04-02T08:30:23Z
置信度 0.70
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Based on tourists' concerns regarding the quality and trustworthiness of technology-related effects on travel experience insurance, this study employs experimental methods and Logit regression analysis. The research is conducted in two stages: pre- and post-ap…
crossref
Cheng Zhang
2025-01-30T07:15:21Z
置信度 0.70
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Two-dimensional continuous control based on brain-computer interface (BCI) systems is becoming a research hotspot. However, due to the discreteness in BCI signal decoding, achieving smooth 2D continuous control is often challenging. To address this issue, this…
crossref
Dingyong Huang, Xueliang Yang, Hui Shen
2024-09-27T16:19:56Z
置信度 0.70
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Abstract Hybrid neurophysiological signals, such as the combination of electroencephalography (EEG) and electromyography (EMG), can be used to reduce road traffic accidents by obtaining the driver's intentions in advance and accordingly applying appropriate au…
openalex
Jiawei Ju, Aberham Genetu Feleke, Hongqi Li, Hongqi Li 等
2024-03-01
置信度 0.72
Brain–computer interfaceComputer scienceHuman–computer interactionPsychologyNeuroscience
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OPINION article Front. Hum. Neurosci., 04 June 2024Sec. Brain-Computer Interfaces Volume 18 - 2024 | https://doi.org/10.3389/fnhum.2024.1426055
openalex
Yiduo Yao, Wan Zuha Wan Hasan, Wenlong Jiao, Xianling Dong 等
2024-06-04
置信度 0.72
Brain–computer interfacePerspective (graphical)HumCognitionCognitive impairment
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Vigilance represents an ability to sustain prolonged attention and plays a crucial role in ensuring the reliability and optimal performance of various tasks. In this report, we describe a MultiModal Vigilance (MMV) dataset comprising seven physiological signal…
openalex
Wei Wei, Kangning Wang, Shuang Qiu, Huiguang He
2024-08-10
置信度 0.72
Vigilance (psychology)Brain–computer interfaceComputer scienceInterface (matter)Human–computer interaction
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Diversity in brain health is influenced by individual differences in demographics and cognition. However, most studies on brain health and diseases have typically controlled for these factors rather than explored their potential to predict brain signals. Here,…
openalex
Hernán Hernandez, Sandra Báez, Vicente Medel, Sebastián Moguilner 等
2024-05-21
置信度 0.72
DemographicsCognitionBrain functionBrain sizePsychology
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Abstract This comprehensive exploration of recent breakthroughs in artificial intelligence (AI) traversed the realms of language models, computer vision, and generative models, unraveling the intricacies of cutting-edge technologies such as GPT-3.5, GPT-4, Pix…
openalex
Zarif Bin Akhtar
2024-06-12
置信度 0.72
Generative grammarTransformative learningGenerative modelComputer scienceEngineering ethics
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With the astounding ability to capture a wealth of brain signals, Brain-Computer Interfaces (BCIs) have the potential to revolutionize humans' quality of life [...].
openalex
Noman Naseer, Imran Khan Niazi, Hendrik Santosa
2024-02-12
置信度 0.72
Brain–computer interfaceComputer scienceHuman–computer interactionBrain activity and meditationSIGNAL (programming language)
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BACKGROUND: We have created a groundbreaking telerehabilitation system known as Tele BCI-FES. This innovative system merges brain-computer interface (BCI) and functional electrical stimulation (FES) technologies to rehabilitate upper limb function following a …
openalex
Salem Mansour, Joshua W. Giles, Krishnan Padmakumari Sivaraman Nair, Rebecca Marshall 等
2025-04-23
置信度 0.72
TelerehabilitationPhysical medicine and rehabilitationFunctional electrical stimulationMedicinePhysical therapy
-
openalex
Faisal Mushtaq, Dominik Welke, Ann Gallagher, Yuri G. Pavlov 等
2024-08-22
置信度 0.72
ElectroencephalographyDemocratizationAction (physics)PsychologyCognitive science
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The metaverse has gained tremendous popularity in recent years, allowing the interconnection of users worldwide. However, current systems in metaverse scenarios, such as virtual reality glasses, offer a partial immersive experience. In this context, Brain-Comp…
openalex
Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Gregorio Martínez Pérez 等
2022-12-06
置信度 0.72
MetaverseComputer scienceHuman–computer interactionContext (archaeology)Headset
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Wireless interfaces enable brain-implanted devices to remotely interact with the external world. They are critical components in modern research and clinical neurotechnologies and play a central role in determining their overall size, lifetime and functionalit…
openalex
Han‐Joon Kim, John S. Ho
2022-06-06
置信度 0.72
WirelessModalitiesComputer scienceHuman–computer interactionModality (human–computer interaction)
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The blood-brain barrier (BBB) plays central roles in the maintenance and health of the brain. Its mechanisms to safeguard the brain against xenobiotics and endogenous toxins also make the BBB the primary obstacle to the development of drugs for the central ner…
openalex
William A. Banks, Elizabeth M. Rhea, May J. Reed, Michelle A. Erickson
2024-10-08
置信度 0.72
Blood–brain barrierPenetration (warfare)MedicineIntensive care medicineInternal medicine
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Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propose innovative methods to assess mental wo…
openalex
Mohammadreza Safari, Reza Shalbaf, Sara Bagherzadeh, Ahmad Shalbaf
2024-04-21
置信度 0.72
Computer scienceSupport vector machineWorkloadFeature selectionArtificial intelligence
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BACKGROUND: Brain-computer interface (BCI) has been shown to be beneficial in improving lower limb motility in stroke, but their effectiveness on balance and attention is unclear. In addition, current BCIs are mostly in single-task mode. The BCI system used in…
openalex
Chunli Wan, Qiyuan Zhang, Yu Qiu, Wenting Zhang 等
2025-08-29
置信度 0.72
Motor imageryBrain–computer interfacePhysical medicine and rehabilitationBerg Balance ScaleBalance (ability)
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The incorporation of physical information in machine learning frameworks is opening and transforming many application domains. Here the learning process is augmented through the induction of fundamental knowledge and governing physical laws. In this work, we e…
openalex
Chayan Banerjee, Kien Nguyen, Clinton Fookes, George Em Karniadakis
2024-08-20
置信度 0.72
Computer scienceArtificial intelligenceProcess (computing)Physical lawHuman–computer interaction
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Predicting the potential for recovery of motor function in stroke patients who undergo specific rehabilitation treatments is an important and major challenge. Recently, electroencephalography (EEG) has shown potential in helping to determine the relationship b…
openalex
Ping-Ju Lin, Wei Li, Xiaoxue Zhai, Zhibin Li 等
2024-01-01
置信度 0.72
ElectroencephalographyBrain–computer interfaceArtificial neural networkMotor imageryComputer science
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A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to v…
openalex
Ethem Alpaydın
2021-08-17
置信度 0.72
Artificial intelligenceComputer scienceMachine learningTransparency (behavior)Reinforcement learning
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Models that predict brain responses to stimuli provide one measure of understanding of a sensory system and have many potential applications in science and engineering. Deep artificial neural networks have emerged as the leading such predictive models of the v…
openalex
Greta Tuckute, Jenelle Feather, Dana Boebinger, Josh H. McDermott
2023-12-13
置信度 0.72
Auditory cortexSensory systemArtificial neural networkComputer scienceArtificial intelligence
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Music is powerful in conveying emotions and triggering affective brain mechanisms. Affective brain responses in previous studies were however rather inconsistent, potentially because of the non-adaptive nature of recorded music used so far. Live music instead …
openalex
Wiebke Trost, Caitlyn Trevor, Natalia B. Fernandez, Florence Steiner 等
2024-02-26
置信度 0.72
AmygdalaNeurofeedbackPsychologyBrain activity and meditationNeuroscience
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In brain-computer interface (BCI) systems, challenges are presented by the recognition of motor imagery (MI) brain signals. Established recognition approaches have achieved favorable performance from patterns like SSVEP, AEP, and P300, whereas the classificati…
openalex
Shuai Wang, Zhiguo Luo, Shaokai Zhao, Qilong Zhang 等
2023-12-27
置信度 0.72
Brain–computer interfaceDeep belief networkComputer scienceArtificial intelligenceRobustness (evolution)
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Brain–computer interface (BCI)-mediated neurofeedback training (BCI-NFT) has emerged as a highly promising treatment in the field of neurorehabilitation. Many previous studies have demonstrated the efficacy of BCI techniques in clinical rehabilitation, but chi…
openalex
Tongtong Zhang, Xiangyue Zhou, Xiangyue Zhou, Xin Li 等
2024-11-23
置信度 0.72
Autism spectrum disorderAttention deficit hyperactivity disorderNeurodevelopmental disorderAttention deficitAudiology
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Medical brain image analysis is a necessary step in computer-assisted/computer-aided diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various diseases. In the pres…
openalex
Darwin Castillo, Vasudevan Lakshminarayanan, María José Rodríguez-Álvarez
2021-02-13
置信度 0.72
Computer scienceSegmentationHyperintensityCADArtificial intelligence
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Introduction: While the ethical significance of caregivers in neurological research has increasingly been recognized, the role of caregivers in brain-computer interface (BCI) research has received relatively less attention. Objectives: This report investigates…
pubmed
Nicolai Wohns, Natalie Dorfman, Eran Klein, Wohns N 等
2024
置信度 0.82
Brain–computer interfaceInterface (matter)Brain researchPhysical medicine and rehabilitationPsychology
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Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by the lack o…
openalex
Guotai Wang, Wenqi Li, María A. Zuluaga, Rosalind Pratt 等
2018-01-26
置信度 0.72
Artificial intelligenceComputer scienceSegmentationConvolutional neural networkImage segmentation
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Brain-computer interfaces (BCIs) aim at the non-invasive investigation of brain activity for supporting communication and interaction of the users with their environment by means of brain-machine assisted technologies. Despite technological progress and promis…
openalex
Cornelia Herbert
2024-04-11
置信度 0.72
Brain–computer interfaceEmbodied cognitionPerceptionCognitionComputer science
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Motor imagery-based brain-computer interfaces (BCIs) have been studied without controlling subjects' gaze fixation position previously. The effect of gaze fixation and covert attention on the behavioral performance of BCI is still unknown. This study designed …
openalex
Jianjun Meng, Zehan Wu, Songwei Li, Xiangyang Zhu
2022-01-24
置信度 0.72
GazeBrain–computer interfaceFixation (population genetics)PsychologyMotor imagery
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openalex
Xiaoying Chen, Maria Firulyova, Melissa Manis, Jasmin Herz 等
2023-03-08
置信度 0.72
TauopathyNeurodegenerationMicrogliaImmune systemNeuroscience
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This paper advances real-time cursor control for individuals with motor impairments through a novel brain–computer interface (BCI) system based solely on motor imagery. We introduce an enhanced deep neural network (DNN) classifier integrated with a Four-Class …
openalex
Srinath Akuthota, Ravichander Janapati, Krishan Kumar, Vassilis C. Gerogiannis 等
2024-11-04
置信度 0.72
Brain–computer interfaceMotor imageryCursor (databases)Computer scienceMovement control
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Human affects such as emotions, moods, feelings are increasingly being considered as key parameter to enhance the interaction of human with diverse machines and systems. However, their intrinsically abstract and ambiguous nature make it challenging to accurate…
openalex
Jin Pyo Lee, Hanhyeok Jang, Yeonwoo Jang, Hyeonseo Song 等
2024-01-15
置信度 0.72
Computer scienceInterface (matter)Facial expressionHuman–computer interactionKey (lock)
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Objective: The brain-computer interface (BCI) systems based on rapid serial visual presentation (RSVP) have been widely utilized for the detection of target and non-target images. Collaborative brain-computer interface (cBCI) effectively fuses electroencephalo…
openalex
Yuan Si, Zhenyu Wang, Guiying Xu, Zikai Wang 等
2024-08-21
置信度 0.72
Computer scienceBrain–computer interfaceSession (web analytics)Classifier (UML)Rapid serial visual presentation
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The increasing miniaturization and affordability of sensors and circuitry has led to the current level of innovation in the area of wearable and microsensor solutions for health monitoring. This facilitates the development of solutions that can be used to meas…
openalex
Bill Byrom, Marie Mc Carthy, Peter Schueler, Willie Muehlhausen
2018-03-25
置信度 0.72
Wearable computerComputer scienceWearable technologyHuman–computer interactionNeuroscience
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Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interes…
openalex
Joshua A Welsh, Deborah C. I. Goberdhan, Lorraine O’Driscoll, Edit I. Buzás 等
2024-02-01
置信度 0.72
Extracellular vesiclesExtracellular vesicleComputer scienceNanotechnologySnapshot (computer storage)
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Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neural dynamic…
openalex
Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz 等
2024-09-16
置信度 0.72
Neuromorphic engineeringComputer scienceInteroperabilityComputer architectureSoftware
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Over the past decade, stereotactically placed electrodes have become the gold standard for deep brain recording and stimulation for a wide variety of neurological and psychiatric diseases. Current electrodes, however, are limited in their spatial resolution an…
openalex
Keundong Lee, Angelique C. Paulk, Yun Goo Ro, Daniel R. Cleary 等
2024-01-17
置信度 0.72
ElectrodeStyletComputer scienceDeep brain stimulationNeuroscience
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Brain-computer interface (BCI) has been widely used in human-computer interaction. The introduction of artificial intelligence has further improved the performance of BCI system. In recent years, the development of BCI has gradually shifted from personal compu…
pubmed
Zhengbo Cai, Penghai Li, Longlong Cheng, Yuan Ding 等
2024-11-08
置信度 0.82
Brain–computer interfaceComputer scienceField-programmable gate arrayInterface (matter)Hardware acceleration
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Objective: Extracting deep features from participants' bioelectric signals and constructing models are key research directions in motor imagery (MI) classification tasks. In this study, we constructed a multimodal multitask hybrid brain-computer interface net …
pubmed
Yingyu Cao, Shaowei Gao, Huixian Yu, Zhenxi Zhao 等
2024
置信度 0.82
Brain–computer interfaceMotor imageryComputer scienceElectroencephalographyInterface (matter)
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In this study, we attempted to improve brain-computer interface (BCI) systems by means of auditory stream segregation in which alternately presented tones are perceived as sequences of various different tones (streams). A 3-class BCI using three tone sequences…
openalex
Simon Kojima, Shin’ichiro Kanoh
2024-05-23
置信度 0.72
Brain–computer interfaceElectroencephalographyTone (literature)AudiologySTREAMS
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Introduction: As brain-computer interfacing (BCI) systems transition fromassistive technology to more diverse applications, their speed, reliability, and user experience become increasingly important. Dynamic stopping methods enhance BCI system speed by decidi…
openalex
Sara Ahmadi, Peter Desain, Jordy Thielen
2024-12-24
置信度 0.72
Computer scienceInterfacingAdaptabilityBrain–computer interfaceReliability (semiconductor)
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Electroencephalography (EEG)-based P300 speller aids in restoring the communication and control capabilities in patients suffering from motor disabilities. However, the quality and quantity of the data collected from EEG recordings have a substantial influence…
openalex
Vibha Bhandari, Narendra D. Londhe, Ghanahshyam B. Kshirsagar
2024-03-04
置信度 0.72
Brain–computer interfaceInterface (matter)Computer scienceSelection (genetic algorithm)Channel (broadcasting)
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Human brain organoids, aka cerebral organoids or earlier “mini-brains”, are 3D cellular models that recapitulate aspects of the developing human brain. They show tremendous promise for advancing our understanding of neurodevelopment and neurological disorders.…
openalex
Thomas Härtung, Itzy E. Morales Pantoja, Lena Smirnova
2024-01-05
置信度 0.72
OrganoidNeuroethicsCorporate governanceEngineering ethicsPublic trust