The future of wearable EEG: A review of ear-EEG technology and its applications

N Kaongoen, J Choi, JW Choi, H Kwon… - Journal of neural …, 2023 - iopscience.iop.org
The future of wearable EEG: A review of ear-EEG technology and its applications Page 1 Journal
of Neural Engineering ACCEPTED MANUSCRIPT The future of wearable EEG: A review of …

Advances in electrode materials for scalp, forehead, and ear EEG: a mini-review

G Petrossian, P Kateb, F Miquet-Westphal… - ACS Applied Bio …, 2023 - ACS Publications
Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …

Recent progress in wearable brain–computer interface (BCI) devices based on electroencephalogram (EEG) for medical applications: a review

J Zhang, J Li, Z Huang, D Huang, H Yu, Z Li - Health Data Science, 2023 - spj.science.org
Importance: Brain–computer interface (BCI) decodes and converts brain signals into
machine instructions to interoperate with the external world. However, limited by the …

A prototypical network for few-shot recognition of speech imagery data

A Hernandez-Galvan, G Ramirez-Alonso… - … Signal Processing and …, 2023 - Elsevier
Speech imagery (SI) is a Brain-Computer Interface (BCI) paradigm based on EEG signals
analysis where the user imagines speaking out a vowel, phoneme, syllable, or word without …

MBGA-Net: A multi-branch graph adaptive network for individualized motor imagery EEG classification

W Ma, C Wang, X Sun, X Lin, L Niu, Y Wang - Computer Methods and …, 2023 - Elsevier
Background and objective: The development of deep learning has led to significant
improvements in the decoding accuracy of Motor Imagery (MI) EEG signal classification …

Decoding auditory-evoked response in affective states using wearable around-ear EEG system

J Choi, N Kaongoen, HS Choi, M Kim… - Biomedical Physics & …, 2023 - iopscience.iop.org
Objective. In this paper, an around-ear EEG system is investigated as an alternative
methodology to conventional scalp-EEG-based systems in classifying human affective states …

Speech imagery decoding using EEG signals and deep learning: A survey

L Zhang, Y Zhou, P Gong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Speech imagery-based Brain-computer interface (BCI) using Electroencephalogram (EEG)
signal is a promising area of research for individuals with severe speech production …

Towards Design and Implementation of an EEG-Based BCI TV Remote Control

HA Ali, LA Ali, A Vasilateanu, N Goga… - International journal of …, 2023 - research.rug.nl
BCI is a rapidly growing field within biomedical engineering as it enables a direct connection
between the central nervous system and an external device. BCI detects brain signals using …

Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain–Computer Interface for Decoding Imagined Syllables

S Wu, K Bhadra, AL Giraud, S Marchesotti - Brain Sciences, 2024 - mdpi.com
Brain-Computer Interfaces (BCIs) aim to establish a pathway between the brain and an
external device without the involvement of the motor system, relying exclusively on neural …

Analysis Learning Model with biometric devices for business simulation games: Brazilian case study

CP Ferreira, CSG González, DF Adamatti… - IEEE Access, 2024 - ieeexplore.ieee.org
Educational institutions have been adopting business simulation games as a resource for
developing skills and competencies. However, the real-time study of aspects related to …