Results 51 to 60 of about 544,226 (346)

Revisiting embodiment for brain–computer interfaces

Human–Computer Interaction, 2023
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 contradict the long-standing HCI emphasis on embodiment, namely the general claim that the body is crucial for ...
Serim, Barış, Spapé, Michiel, Jacucci, Giulio   +2 more
openaire   +3 more sources

Sub-band common spatial pattern (SBCSP) for brain-computer interface [PDF]

, 2007
Brain-computer interface (BCI) is a system to translate humans thoughts into commands. For electroencephalography (EEG) based BCI, motor imagery is considered as one of the most effective ways.
Cuntai, Guan, Dat, Tran Huy, Quadrianto, Novi, Xue, Ping   +3 more
core   +1 more source

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

The Influence of Different EEG References on Scalp EEG Functional Network Analysis During Hand Movement Tasks

Frontiers in Human Neuroscience, 2020
Although scalp EEG functional networks have been applied to the study of motor tasks using electroencephalography (EEG), the selection of a suitable reference electrode has not been sufficiently researched.
Lipeng Zhang, Lipeng Zhang, Peng Wang, Peng Wang, Rui Zhang, Rui Zhang, Mingming Chen, Mingming Chen, Li Shi, Li Shi, Jinfeng Gao, Jinfeng Gao, Yuxia Hu, Yuxia Hu   +13 more
doaj   +1 more source

Data-driven multivariate and multiscale methods for brain computer interface [PDF]

, 2012
This thesis focuses on the development of data-driven multivariate and multiscale methods for brain computer interface (BCI) systems. The electroencephalogram (EEG), the most convenient means to measure neurophysiological activity due to its ...
Park, Cheolsoo, Park, Cheolsoo
core   +1 more source

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Scientific Reports, 2017
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a
Trieu Phat Luu, Sho Nakagome, Yongtian He, Jose L. Contreras-Vidal   +3 more
doaj   +1 more source

Differences in Intersubject Early Readiness Potentials Between Voluntary and Instructed Actions

Frontiers in Psychology, 2020
Readiness potential (RP) is a slow negative electroencephalogram (EEG) potential prior to voluntary action and was first described by Kornhuber and Deecke (1965).
Lipeng Zhang, Lipeng Zhang, Rui Zhang, Rui Zhang, Dezhong Yao, Dezhong Yao, Li Shi, Li Shi, Jinfeng Gao, Jinfeng Gao, Yuxia Hu, Yuxia Hu   +11 more
doaj   +1 more source

Theta–gamma coupling as a cortical biomarker of brain–computer interface-mediated motor recovery in chronic stroke

Brain Communications, 2022
Chronic stroke patients with upper-limb motor disabilities are now beginning to see treatment options that were not previously available. To date, the two options recently approved by the United States Food and Drug Administration include vagus nerve ...
N. Rustamov, Joseph B. Humphries, A. Carter, E. Leuthardt   +3 more
semanticscholar   +1 more source

An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth

Scientific Reports, 2023
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In
Akshay Sujatha Ravindran, Jose Contreras-Vidal   +1 more
doaj   +1 more source

EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm

, 2013
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses,
Aminaka, Daiki, Kono, Shota, Makino, Shoji, Rutkowski, Tomasz M.   +3 more
core   +1 more source