Results 11 to 20 of about 149,687 (283)

Visual Tracking Brain-Computer Interface

iScience, 2023
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 to discrete stimulus design and decoding methods.
Changxing Huang, Nanlin Shi, Yining Miao, Xiaogang Chen, Yijun Wang, Xiaorong Gao   +5 more
openaire   +4 more sources

Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review [PDF]

, 2020
A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI
Han, Chang-Hee, Hwang, Han-Jeong, Müller, Klaus-Robert   +2 more
core   +1 more source

Anytime collaborative brain–computer interfaces for enhancing perceptual group decision-making

Scientific Reports, 2021
In this paper we present, and test in two realistic environments, collaborative Brain-Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy of perceptual group decision-making. The key distinguishing features of this
Saugat Bhattacharyya, Davide Valeriani, Caterina Cinel, Luca Citi, Riccardo Poli   +4 more
doaj   +1 more source

The brain–computer interface cycle [PDF]

Journal of Neural Engineering, 2009
Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review is to give an overview of the various steps in the BCI cycle, i.e., the loop from the measurement of brain activity, classification of data, feedback to the ...
Gerven, M.A.J. van, Farquhar, J.D.R., Schaefer, R.S., Vlek, R.J., Geuze, J., Nijholt, A., Ramsey, N.F., Haselager, W.F.G., Vuurpijl, L.G., Gielen, C.C.A.M., Desain, P.W.M.   +10 more
openaire   +6 more sources

Editorial: Methods in brain-computer interfaces: 2023 [PDF]

Frontiers in Human Neuroscience
Davide Borra, Ming Ma, Ester Martinez-Martin, Likun Xia   +3 more
doaj   +2 more sources

Shifts in Estimated Preferred Directions During Simulated BMI Experiments With No Adaptation

Frontiers in Systems Neuroscience, 2021
Experiments with brain-machine interfaces (BMIs) reveal that the estimated preferred direction (EPD) of cortical motor units may shift following the transition to brain control.
Miri Benyamini, Miriam Zacksenhouse, Miriam Zacksenhouse   +2 more
doaj   +1 more source

Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

Journal of NeuroEngineering and Rehabilitation, 2017
Background In this work, we share our experiences made at the world-wide first CYBATHLON, an event organized by the Eidgenössische Technische Hochschule Zürich (ETH Zürich), which took place in Zurich in October 2016.
Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot Müller-Putz   +8 more
doaj   +1 more source

Interactive Reading Using Low Cost Brain Computer Interfaces [PDF]

, 2017
This work shows the feasibility for document reader user applications using a consumer grade non-invasive BCI headset. Although Brain Computer Interface (BCI) type devices are beginning to aim at the consumer level, the level at which they can actually ...
Hartley, Thomas, Loizides, Fernando, Loizou, Michael, Naughton, Liam, Wilson, Paul, Worrallo, Adam, Yang, Shufan, Zaphiris, Panayiotis   +7 more
core   +3 more sources

Online home appliance control using EEG-Based brain-computer interfaces [PDF]

, 2019
Brain???computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at ...
Cho, Jeongho, Hwang, Minho, Kim, Hyun-Young, Kim, Min-Ki, Kim, Minju, Kim, Sung-Phil   +5 more
core   +1 more source

An EEG-/EOG-Based Hybrid Brain-Computer Interface: Application on Controlling an Integrated Wheelchair Robotic Arm System

Frontiers in Neuroscience, 2019
Most existing brain-computer Interfaces (BCIs) are designed to control a single assistive device, such as a wheelchair, a robotic arm or a prosthetic limb.
Qiyun Huang, Zhijun Zhang, Tianyou Yu, Shenghong He, Yuanqing Li   +4 more
doaj   +1 more source