A human-centric metaverse enabled by brain-computer interface: A survey

HY Zhu, NQ Hieu, DT Hoang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The growing interest in the Metaverse has generated momentum for members of academia
and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique …

Fully portable and wireless universal brain–machine interfaces enabled by flexible scalp electronics and deep learning algorithm

M Mahmood, D Mzurikwao, YS Kim, Y Lee… - Nature Machine …, 2019 - nature.com
Variation in human brains creates difficulty in implementing electroencephalography into
universal brain–machine interfaces. Conventional electroencephalography systems typically …

6G communication networks: introduction, vision, challenges, and future directions

P Meena, MB Pal, PK Jain, R Pamula - Wireless Personal …, 2022 - Springer
In the fastest-growing world, technological innovation and industrial transformation are
accelerating. The enhancement of Information and Communication Technology and its …

Motor-imagery-based brain–computer interface using signal derivation and aggregation functions

J Fumanal-Idocin, YK Wang, CT Lin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Brain–computer interface (BCI) technologies are popular methods of communication
between the human brain and external devices. One of the most popular approaches to BCI …

Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface

LW Ko, YC Lu, H Bustince, YC Chang… - IEEE Computational …, 2019 - ieeexplore.ieee.org
Brain-computer interface technologies, such as steady-state visually evoked potential, P300,
and motor imagery are methods of communication between the human brain and the …

Direct-sense brain–computer interfaces and wearable computers

CT Lin, TTN Do - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) allow users to communicate directly with external devices
via their brain signals. Recently, BCIs, and wearable computers in particular, have been …

An electric wheelchair manipulating system using SSVEP-based BCI system

W Chen, SK Chen, YH Liu, YJ Chen, CS Chen - Biosensors, 2022 - mdpi.com
Most people with motor disabilities use a joystick to control an electric wheelchair. However,
those who suffer from multiple sclerosis or amyotrophic lateral sclerosis may require other …

Cross-platform implementation of an SSVEP-based BCI for the control of a 6-DOF robotic arm

E Quiles, J Dadone, N Chio, E Garcia - Sensors, 2022 - mdpi.com
Robotics has been successfully applied in the design of collaborative robots for assistance
to people with motor disabilities. However, man-machine interaction is difficult for those who …

Emergence of flexible technology in develo** advanced systems for post-stroke rehabilitation: a comprehensive review

MA Khan, M Saibene, R Das, I Brunner… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Stroke is one of the most common neural disorders, which causes physical
disabilities and motor impairments among its survivors. Several technologies have been …