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Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working…

Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and monotonous training procedure to train both the system and the user. Considering many users struggle with effective control of MI-BCI systems, a more…

人机交互 · 计算机科学 2024-10-24 Fred Atilla , Marie Postma , Maryam Alimardani

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…

人机交互 · 计算机科学 2025-03-24 Yifan Wang , Cheng Jiang , Chenzhong Li

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…

人机交互 · 计算机科学 2022-04-05 Bosubabu Sambana , Priyanka Mishra

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…

人机交互 · 计算机科学 2012-11-06 Brent J. Lance , Scott E. Kerick , Anthony J. Ries , Kelvin S. Oie , Kaleb McDowell

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…

人机交互 · 计算机科学 2015-09-07 Sumit Soman , Siddharth Srivastava , Saurabh Srivastava , Nitendra Rajput

$\textit{BrainForm}$ is a gamified Brain-Computer Interface (BCI) training system designed for scalable data collection using consumer hardware and a minimal setup. We investigated (1) how users develop BCI control skills across repeated…

人机交互 · 计算机科学 2025-10-15 Michele Romani , Devis Zanoni , Elisabetta Farella , Luca Turchet

Brain-computer interfaces (BCIs) make possible to interact with the external environment by decoding the mental intention of individuals. BCIs can therefore be used to address basic neuroscience questions but also to unlock a variety of…

In this paper we will describe all necessary parts of Brain-Computer Interface (BCI), such as source of signals, hardware, software, analysis, architectures of complete system. We also will go along various applications of BCI, view some…

人机交互 · 计算机科学 2010-03-16 Kirill A. Sorudeykin

Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of the human brain in communicating and interacting with the environment directly. Advances in neuroscience and…

信号处理 · 电气工程与系统科学 2020-01-31 Xiaotong Gu , Zehong Cao , Alireza Jolfaei , Peng Xu , Dongrui Wu , Tzyy-Ping Jung , Chin-Teng Lin

Brain-Computer Interface (BCI) is a rapidly developing technology that allows direct communications between the human brain and external devices, such as robotic arms and computers. Bayesian Networks is a powerful tool in machine learning…

信号处理 · 电气工程与系统科学 2022-06-16 Pingsheng Li

Brain-computer interface (BCI) systems have potential as assistive technologies for individuals with severe motor impairments. Nevertheless, individuals must first participate in many training sessions to obtain adequate data for optimizing…

信号处理 · 电气工程与系统科学 2019-12-11 Behnam Reyhani-Masoleh , Tom Chau

Brain-computer interfaces (BCIs) are evolving from research prototypes into clinical, assistive, and performance enhancement technologies. Despite the rapid rise and promise of implantable technologies, there is a need for better and more…

神经元与认知 · 定量生物学 2025-11-27 Gao Wang , Yingying Huang , Lars Muckli , Daniele Faccio

Detailed exploration on Brain Computer Interface (BCI) and its recent trends has been done in this paper. Work is being done to identify objects, images, videos and their color compositions. Efforts are on the way in understanding speech,…

人机交互 · 计算机科学 2012-11-13 T. Kameswara Rao , M. Rajya Lakshmi , T. V. Prasad

How to take multiple factors into account when evaluating a Game with a Purpose? How is player behaviour or participation influenced by different incentives? How does player engagement impact their accuracy in solving tasks? In this paper,…

人机交互 · 计算机科学 2018-11-21 Gloria Re Calegari , Irene Celino

Mental Imagery based Brain-Computer Interfaces (MI-BCI) enable their users to control an interface, e.g., a prosthesis, by performing mental imagery tasks only, such as imagining a right arm movement while their brain activity is measured…

人机交互 · 计算机科学 2019-05-24 Léa Pillette , Camille Jeunet , Roger N'Kambou , Bernard N'Kaoua , Fabien Lotte

Brain computer interface (BCI) enables the brain to directly control an external device by converting neural signals into actionable outputs. However, effective real-time translation of brain activity strongly depends on the quality of…

人机交互 · 计算机科学 2026-05-21 Houda Hafi , Bouziane Brik , Nuraini Jamil , Abdelkader Nasreddine Belkacem

Noninvasive brain-computer interface (BCI) is widely used to recognize users' intentions. Especially, BCI related to tactile and sensation decoding could provide various effects on many industrial fields such as manufacturing advanced touch…

人机交互 · 计算机科学 2020-12-22 Jeong-Hyun Cho , Ji-Hoon Jeong , Myoung-Ki Kim , Seong-Whan Lee

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…

人机交互 · 计算机科学 2013-02-13 M. Rajyalakshmi , T. Kameswara Rao , T. V. Prasad

Humans can fluidly adapt their interest in complex environments in ways that machines cannot. Here, we lay the groundwork for a real-world system that passively monitors and merges neural correlates of visual interest across team members…

神经元与认知 · 定量生物学 2019-01-21 Amelia J. Solon , Stephen M. Gordon , Jonathan R. McDaniel , Vernon J. Lawhern
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