Results 21 to 30 of about 2,171,414 (328)

Improving AR-SSVEP Recognition Accuracy Under High Ambient Brightness Through Iterative Learning

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Augmented reality-based brain-computer interface (AR-BCI) system is one of the important ways to promote BCI technology outside of the laboratory due to its portability and mobility, but its performance in real-world scenarios has not been fully studied.
Rui Zhang   +7 more
doaj   +1 more source

Brain-Computer Interface: Advancement and Challenges

open access: yesItalian National Conference on Sensors, 2021
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc.
M. F. Mridha   +5 more
semanticscholar   +1 more source

fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey

open access: yesBrain Science, 2022
Brain neural activity decoding is an important branch of neuroscience research and a key technology for the brain–computer interface (BCI). Researchers initially developed simple linear models and machine learning algorithms to classify and recognize ...
Bing Du   +3 more
semanticscholar   +1 more source

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

open access: yesJournal 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

Elevated Gamma Connectivity in Nidopallium Caudolaterale of Pigeons during Spatial Path Adjustment

open access: yesAnimals, 2022
Previous studies showed that spatial navigation depends on a local network including multiple brain regions with strong interactions. However, it is still not fully understood whether and how the neural patterns in avian nidopallium caudolaterale (NCL ...
Mengmeng Li   +4 more
doaj   +1 more source

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

open access: yesJournal 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   +7 more
openaire   +3 more sources

Brain-computer interface [PDF]

open access: yes, 2011
A brain–computer interface (BCI), sometimes called a direct neural interface or a brain–machine interface (BMI), is a direct communication pathway between the brain and an external device.
Marchenko, D.O., Sirobaba, N.S.
core   +1 more source

2020 International brain–computer interface competition: A review

open access: yesFrontiers in Human Neuroscience, 2022
The brain-computer interface (BCI) has been investigated as a form of communication tool between the brain and external devices. BCIs have been extended beyond communication and control over the years.
Ji-Hoon Jeong   +8 more
semanticscholar   +1 more source

Hybrid Deep Learning (hDL)-Based Brain-Computer Interface (BCI) Systems: A Systematic Review

open access: yesBrain Science, 2021
Background: Brain-Computer Interface (BCI) is becoming more reliable, thanks to the advantages of Artificial Intelligence (AI). Recently, hybrid Deep Learning (hDL), which combines different DL algorithms, has gained momentum over the past five years. In
Nibras Abo Alzahab   +7 more
semanticscholar   +1 more source

Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia

open access: yesIEEE Transactions on Biomedical Engineering, 2021
Objective. Individuals with neurological disease or injury such as amyotrophic lateral sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even locked-in. For people with these conditions, current assistive technologies are
J. Simeral   +15 more
semanticscholar   +1 more source

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