Results 11 to 20 of about 68,213 (166)

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

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

CONTROL OF BIPEDAL LOCOMOTION WITH A NEURAL OSCILLATOR-BASED BRAIN–COMPUTER INTERFACE

Journal of Information and Communication Technology, 2016
This study proposes a neural oscillator-based brain–computer interface (BCI) that controls a bipedal neuromusculoskeletal (NMS) model by inputting electroencephalogram (EEG) signals. In this BCI system, while the bipedal NMS system realizes bipedal locomotion through internal entrainment among neural oscillators and a musculoskeletal system, the ...
Ikeda, Ryo, Horie, Ryota
openaire   +3 more sources

Effects of neurofeedback training with an electroencephalogram-based Brain–Computer Interface for hand paralysis in patients with chronic stroke: A preliminary case series study

Journal of Rehabilitation Medicine, 2011
To explore the effectiveness of neurorehabilitative training using an electroencephalogram-based brain- computer interface for hand paralysis following stroke.A case series study.Eight outpatients with chronic stroke demonstrating moderate to severe hemiparesis.Based on analysis of volitionally decreased amplitudes of sensory motor rhythm during motor ...
Keiichiro, Shindo, Kimiko, Kawashima, Junichi, Ushiba, Naoki, Ota, Mari, Ito, Tetsuo, Ota, Akio, Kimura, Meigen, Liu   +7 more
openaire   +3 more sources

An Introductory Tutorial on Brain–Computer Interfaces and Their Applications [PDF]

, 2021
The prospect and potentiality of interfacing minds with machines has long captured human imagination. Recent advances in biomedical engineering, computer science, and neuroscience are making brain–computer interfaces a reality, paving the way to ...
Hiroshi Higashi, Andrea Bonci, Higashi, Hiroshi, Simone Fiori, Toshihisa Tanaka, Tanaka, Toshihisa, Federica Verdini, Bonci, Andrea, Fiori, Simone, Verdini, Federica   +9 more
core   +1 more source

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

A note on brain actuated spelling with the Berlin brain-computer interface [PDF]

, 2007
Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain.
Krauledat, M., Matthias Krauledat, Blankertz, B., G. Dornhege, Benjamin Blankertz, Klaus-Robert Müller, B. Blankertz, M. Krauledat, Murray-Smith, Roderick, Müller, K-R., Dornhege, G., Guido Dornhege, Murray-Smith, R., Williamson, John, Williamson, J., Roderick Murray-Smith, Blankertz, Benjamin, John Williamson   +17 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

Signature methods for brain-computer interfaces

Scientific Reports, 2023
Brain-computer interfaces (BCIs) allow direct communication between one’s central nervous system and a computer without any muscle movement hence by-passing the peripheral nervous system.
Xiaoqi Xu, Darrick Lee, Nicolas Drougard, Raphaëlle N. Roy   +3 more
doaj   +1 more source