[HTML][HTML] Brain computer interfaces for improving the quality of life of older adults and elderly patients
All people experience aging, and the related physical and health changes, including
changes in memory and brain function. These changes may become debilitating leading to …
changes in memory and brain function. These changes may become debilitating leading to …
[HTML][HTML] Past, present, and future of EEG-based BCI applications
K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
Prognosis for patients with cognitive motor dissociation identified by brain-computer interface
Cognitive motor dissociation describes a subset of patients with disorders of consciousness
who show neuroimaging evidence of consciousness but no detectable command-following …
who show neuroimaging evidence of consciousness but no detectable command-following …
[HTML][HTML] An adversarial discriminative temporal convolutional network for EEG-based cross-domain emotion recognition
Abstract Domain adaptation (DA) tackles the problem where data from the source domain
and target domain have different underlying distributions. In cross-domain (cross-subject or …
and target domain have different underlying distributions. In cross-domain (cross-subject or …
[HTML][HTML] A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition
ES Salama, RA El-Khoribi, ME Shoman… - Egyptian Informatics …, 2021 - Elsevier
Nowadays, human emotion recognition is a mandatory task for many human machine
interaction fields. This paper proposes a novel multi-modal human emotion recognition …
interaction fields. This paper proposes a novel multi-modal human emotion recognition …
Combining facial expressions and electroencephalography to enhance emotion recognition
Emotion recognition plays an essential role in human–computer interaction. Previous
studies have investigated the use of facial expression and electroencephalogram (EEG) …
studies have investigated the use of facial expression and electroencephalogram (EEG) …
[HTML][HTML] Managing disorders of consciousness: the role of electroencephalography
Disorders of consciousness (DOC) are an important but still underexplored entity in
neurology. Novel electroencephalography (EEG) measures are currently being employed …
neurology. Novel electroencephalography (EEG) measures are currently being employed …
Machine learning classification of maladaptive rumination and cognitive distraction in terms of frequency specific complexity
In this study, cognitive and behavioral emotion regulation strategies (ERS) are classified by
using machine learning models driven by a new local EEG complexity approach so called …
using machine learning models driven by a new local EEG complexity approach so called …
An efficient mixture model approach in brain-machine interface systems for extracting the psychological status of mentally impaired persons using EEG signals
We propose an efficient mixture classification technique, which uses
electroencephalography (EEG) signals for establishing a communication channel for the …
electroencephalography (EEG) signals for establishing a communication channel for the …
Multimodal affective state assessment using fNIRS+ EEG and spontaneous facial expression
Human facial expressions are regarded as a vital indicator of one's emotion and intention,
and even reveal the state of health and wellbeing. Emotional states have been associated …
and even reveal the state of health and wellbeing. Emotional states have been associated …