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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), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies in classifying target and non-target stimuli based on…

应用统计 · 统计学 2024-02-16 Bangyao Zhao , Jane E. Huggins , Jian Kang

Electroencephalogram (EEG) based brain-computer interfaces (BCI) may provide a means of communication for those affected by severe paralysis. However, the relatively low information transfer rates (ITR) of these systems, currently limited…

人机交互 · 计算机科学 2013-02-08 Po T. Wang , Christine E. King , An H. Do , Zoran Nenadic

Brain-computer interfaces (BCIs) allow direct communication between the brain and electronics without the need for speech or physical movement. Such interfaces can be particularly beneficial in applications requiring rapid response times,…

人机交互 · 计算机科学 2026-01-09 Niloufar Alavi , Swati Shah , Rezvan Alamian , Stefan Goetz

The integration of brain-computer interfaces (BCIs) into the realm of smart wheelchair (SW) technology signifies a notable leap forward in enhancing the mobility and autonomy of individuals with physical disabilities. BCIs are a technology…

人机交互 · 计算机科学 2024-04-30 Shiva Ghasemi , Denis Gracanin , Mohammad Azab

Mental imagery-based brain-computer interfaces (BCIs) allow to interact with the external environment by naturally bypassing the musculoskeletal system. Making BCIs efficient and accurate is paramount to improve the reliability of real-life…

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users.…

Motivated by the inconceivable capability of the human brain in simultaneously processing multi-modal signals and its real-time feedback to the outer world events, there has been a surge of interest in establishing a communication bridge…

信号处理 · 电气工程与系统科学 2020-02-04 Soroosh Shahtalebi , Amir Asif , Arash Mohammadi

Brain-computer interfaces (BCIs) are one of the few alternatives to enable locked-in syndrome (LIS) patients to communicate with the external world, while they are the only solution for complete locked-in syndrome (CLIS) patients, who lost…

人机交互 · 计算机科学 2023-07-28 Davide D'Adamo , Emiliano Robert , Cristina Gena , Silvestro Roatta

BCI systems are able to communicate directly between the brain and computer using neural activity measurements without the involvement of muscle movements. For BCI systems to be widely used by people with severe disabilities, long-term…

人机交互 · 计算机科学 2023-05-31 Krishna Pai , Rakhee Kallimani , Sridhar Iyer , B. Uma Maheswari , Rajashri Khanai , Dattaprasad Torse

This study introduces a pioneering approach in brain-computer interface (BCI) technology, featuring our novel concept of high-level visual imagery for non-invasive electroencephalography (EEG)-based communication. High-level visual imagery,…

人机交互 · 计算机科学 2025-11-03 Byoung-Hee Kwon , Minji Lee , Seong-Whan Lee

Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation…

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

Speech-related Brain Computer Interfaces (BCI) aim primarily at finding an alternative vocal communication pathway for people with speaking disabilities. As a step towards full decoding of imagined speech from active thoughts, we present a…

机器学习 · 计算机科学 2019-04-10 Pramit Saha , Muhammad Abdul-Mageed , Sidney Fels

A Brain Computer Interface (BCI) is a communication system that receives neurological signals from the brain and translates them into control commands for electrical (e.g., computer mouse) and electromechanical (e.g., Wheelchair) devices.…

人机交互 · 计算机科学 2016-10-19 Amin Behdad , Amro Nour , Arash Zereshkian , Cesar Marquez Chin , Milos Popovic

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…

计算机视觉与模式识别 · 计算机科学 2016-12-28 Jaime Fernando Delgado Saa , Mujdat Cetin

Despite the general assumption that completely locked-in state (CLIS) patients remain conscious and aware of their environment, the effectiveness of brain-computer interfaces (BCIs) in facilitating communication has been limited, as…

神经元与认知 · 定量生物学 2025-09-30 Nicoli Leal , Rute Bettencourt , Urbano J. Nunes , Gabriel Pires

Neurological and Physiological Disorders that impact emotional regulation each have their own unique characteristics which are important to understand in order to create a generalized solution to all of them. The purpose of this experiment…

人机交互 · 计算机科学 2024-11-25 Vedant Mehta

As a method to connect human brain and external devices, Brain-computer interfaces (BCIs) are receiving extensive research attention. Recently, the integration of communication theory with BCI has emerged as a popular trend, offering…

信号处理 · 电气工程与系统科学 2025-05-19 Jiaheng Wang , Zhenyu Wang , Tianheng Xu , Yuan Si , Ang Li , Ting Zhou , Xi Zhao , Honglin Hu

Brain-computer interface (BCI) research, while promising, has largely been confined to static and fixed environments, limiting real-world applicability. To move towards practical BCI, we introduce a real-time wireless imagined speech…

人工智能 · 计算机科学 2025-11-12 Ji-Ha Park , Heon-Gyu Kwak , Gi-Hwan Shin , Yoo-In Jeon , Sun-Min Park , Ji-Yeon Hwang , Seong-Whan Lee