Results 21 to 30 of about 378,811 (361)
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 +2 more
doaj +1 more source
Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Brain Science, 2021 Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by ...
Aleksandra Kawala-Sterniuk +7 more
semanticscholar +1 more source
Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016 [PDF]
IEEE Transactions on Cognitive and Developmental Systems, 2020 A brain–computer interface (BCI) enables a user to communicate with a computer directly using brain signals. The most common noninvasive BCI modality, electroencephalogram (EEG), is sensitive to noise/artifact and suffers between-subject/within-subject ...
Dongrui Wu, Yifan Xu, Baoliang Lu
semanticscholar +1 more source
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 +8 more
doaj +1 more source
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 +2 more
core +1 more source
Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces
IEEE Access, 2021 Deep learning technology is rapidly spreading in recent years and has been extensive attempts in the field of Brain-Computer Interface (BCI). Though the accuracy of Motor Imagery (MI) BCI systems based on the deep learning have been greatly improved ...
Xin Deng +4 more
semanticscholar +1 more source
Emotions Detection based on a Single-electrode EEG Device [PDF]
, 2017 The study of emotions using multiple channels of EEG represents a widespread practice in the field of research related to brain computer interfaces (Brain Computer Interfaces).
Cabrera Cabrera, Rafael +5 more
core +1 more source
Unsupervised decoding of long-term, naturalistic human neural recordings with automated video and audio annotations [PDF]
, 2015 Fully automated decoding of human activities and intentions from direct neural recordings is a tantalizing challenge in brain-computer interfacing.
Brunton, Bingni W. +4 more
core +3 more sources
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 +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 +3 more
doaj +1 more source