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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

The paper presents results from a project aiming to create horizontally distributed surround sound sources and virtual sound images as auditory BCI (aBCI) stimuli. The purpose is to create evoked brain wave response patterns depending on…

人机交互 · 计算机科学 2012-10-11 Nozomu Nishikawa , Yoshihiro Matsumoto , Shoji Makino , Tomasz M. Rutkowski

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…

人机交互 · 计算机科学 2020-06-19 Reza Abbasi-Asl , Mohammad Keshavarzi , Dorian Yao Chan

A brain-computer interface (BCI) enables a user to communicate with a computer directly using brain signals. The most common non-invasive BCI modality, electroencephalogram (EEG), is sensitive to noise/artifact and suffers…

人机交互 · 计算机科学 2022-11-15 Dongrui Wu , Yifan Xu , Bao-Liang Lu

Electroencephalography (EEG) signals elicited by multimodal stimuli can drive brain-computer interfaces (BCIs), and research has demonstrated that visual and auditory stimuli can be employed simultaneously to improve BCI performance.…

人机交互 · 计算机科学 2021-08-04 Akinari Onishi

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.…

Researchers increasingly explore deploying brain-computer interfaces (BCIs) for able-bodied users, with the motivation of accessing mental states more directly than allowed by existing body-mediated interaction. This motivation seems to…

人机交互 · 计算机科学 2023-03-16 Barış Serim , Michiel Spapé , Giulio Jacucci

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…

人机交互 · 计算机科学 2023-05-23 Xin Zhou , Botao Hao , Jian Kang , Tor Lattimore , Lexin Li

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

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…

人机交互 · 计算机科学 2023-11-22 Changxing Huang , Nanlin Shi , Yining Miao , Xiaogang Chen , Yijun Wang , Xiaorong Gao

Brain Computer Interface (BCI) technologies have the potential to improve the lives of millions of people around the world, whether through assistive technologies or clinical diagnostic tools. Despite advancements in the field, however, at…

机器学习 · 计算机科学 2023-01-31 Chad Mello , Troy Weingart , Ethan M. Rudd

Brain-Computer Interface (BCI) bridges the human's neural world and the outer physical world by decoding individuals' brain signals into commands recognizable by computer devices. Deep learning has lifted the performance of brain-computer…

人机交互 · 计算机科学 2020-10-23 Xiang Zhang , Lina Yao , Xianzhi Wang , Jessica Monaghan , David Mcalpine , Yu Zhang

The growing interest in the Metaverse has generated momentum for members of academia and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique, continuous, and shared virtual world where humans embody a…

人机交互 · 计算机科学 2023-09-06 Howe Yuan Zhu , Nguyen Quang Hieu , Dinh Thai Hoang , Diep N. Nguyen , Chin-Teng Lin

Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes…

In this project, and through an understanding of neuronal system communication, A novel model serves as an assistive technology for locked-in people suffering from Motor neuronal disease (MND) is proposed. Work was done upon the potential…

医学物理 · 物理学 2018-09-05 Mahmoud Haroun , Mohamed Salah

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

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…

人机交互 · 计算机科学 2023-09-26 Ritam Ghosh

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…

In this paper we introduce the concept of Brain-Computer Interface (BCI) inhibitor, which is meant to standby the BCI until the user is ready, in order to improve the overall performance and usability of the system. BCI inhibitor can be…

人机交互 · 计算机科学 2011-11-09 Laurent George , Laurent Bonnet , Anatole Lécuyer

Brain-Computer Interfaces (BCIs) offer a direct communication pathway between the human brain and external devices, holding significant promise for individuals with severe neurological impairments. However, their widespread adoption is…

人工智能 · 计算机科学 2025-10-28 Yankai Chen , Xinni Zhang , Yifei Zhang , Yangning Li , Henry Peng Zou , Chunyu Miao , Weizhi Zhang , Xue Liu , Philip S. Yu