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 …

Deep learning-based approach for emotion recognition using electroencephalography (EEG) signals using bi-directional long short-term memory (Bi-LSTM)

M Algarni, F Saeed, T Al-Hadhrami, F Ghabban… - Sensors, 2022 - mdpi.com
Emotions are an essential part of daily human communication. The emotional states and
dynamics of the brain can be linked by electroencephalography (EEG) signals that can be …

EEG2Vec: Learning affective EEG representations via variational autoencoders

D Bethge, P Hallgarten… - … on Systems, Man …, 2022 - ieeexplore.ieee.org
There is a growing need for sparse representational formats of human affective states that
can be utilized in scenarios with limited computational memory resources. We explore …

Brain data in context: Are new rights the way to mental and brain privacy?

D Susser, LY Cabrera - AJOB neuroscience, 2024 - Taylor & Francis
The potential to collect brain data more directly, with higher resolution, and in greater
amounts has heightened worries about mental and brain privacy. In order to manage the …

Real-time decoding of attentional states using closed-loop EEG neurofeedback

G Tuckute, ST Hansen, TW Kjaer, LK Hansen - Neural Computation, 2021 - direct.mit.edu
Sustained attention is a cognitive ability to maintain task focus over extended periods of time
(Mackworth,; Chun, Golomb, & Turk-Browne, 2011). In this study, scalp …

Influence of EEG channel reduction on lower limb motor imagery during electrical stimulation in healthy and paraplegic subjects

PB Júnior, DP Campos, AE Lazzaretti… - Research on Biomedical …, 2022 - Springer
Purpose Among a wide range of applications that make use of Brain-Computer Interfaces
(BCIs), the pattern recognition of motor imagery (MI) to trigger neuromodulation systems in …

BrainKilter: a real-time EEG analysis platform for neurofeedback design and training

G Pei, G Guo, D Chen, R Yang, Z Shi, S Wang… - Ieee …, 2020 - ieeexplore.ieee.org
Neurofeedback targets self-regularized brain activity to normalized brain function based on
brain-computer interface (BCI) technology. Although BCI software or platforms have …

[PDF][PDF] Enhancing Home Automation through Brain-Computer Interface Technology

D Ahmed, V Dillshad, AS Danish, F Jahangir, H Kashif… - researchgate.net
In the evolution of intelligent technologies, the intersection of sophisticated interfaces and
home automation has created unprecedented prospects for effortless and intuitive …

A review on progress and future trends for wireless network for communication system

N Singh, A Shukla - Advances in Communication, Devices and Networking …, 2022 - Springer
Wireless Communication has a long history of development, which is also a means for
exchanging information through free space or wireless media. This paper gives an …

Design & Implementation of Brain Controlled Interface For Healthcare Applications

N Prabhu, B Shripada, A Shetty… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
BCIs have gained significant attention as a means of communication and control for
individuals with disabilities or neurological disorders. However, existing BCIs often suffer …