Research progress of EEG-based emotion recognition: a survey
Emotion recognition based on electroencephalography (EEG) signals has emerged as a
prominent research field, facilitating objective evaluation of diseases like depression and …
prominent research field, facilitating objective evaluation of diseases like depression and …
A review on EEG signals based emotion recognition
M Zangeneh Soroush, K Maghooli… - International …, 2017 - eprints.go2submission.com
Emotion recognition has become a very controversial issue in brain-computer interfaces
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …
Accurate emotion recognition using Bayesian model based EEG sources as dynamic graph convolutional neural network nodes
Due to the effect of emotions on interactions, interpretations, and decisions, automatic
detection and analysis of human emotions based on EEG signals has an important role in …
detection and analysis of human emotions based on EEG signals has an important role in …
Accurate emotion recognition utilizing extracted EEG sources as graph neural network nodes
Automated analysis and recognition of human emotion play an important role in the
development of a human–computer interface. High temporal resolution of EEG signals …
development of a human–computer interface. High temporal resolution of EEG signals …
Findings about loreta applied to high-density eeg—a review
Electroencephalography (EEG) is a non-invasive diagnostic technique for recording brain
electric activity. The EEG source localization has been an area of research widely explored …
electric activity. The EEG source localization has been an area of research widely explored …
[HTML][HTML] Recommendations for developing an EEG laboratory at a primarily undergraduate institution
P Ledwidge, J Foust, A Ramsey - Journal of Undergraduate …, 2018 - ncbi.nlm.nih.gov
Given its relatively low cost and minimal required space, an EEG laboratory provides the
most feasible human cognitive neuroscience technique to implement at primarily …
most feasible human cognitive neuroscience technique to implement at primarily …
Can a novel high-density EEG approach disentangle the differences of visual event related potential (N170), elicited by negative facial stimuli, in people with …
Background: Studies on subjective cognitive impairment (SCI) and neural activation report
controversial results. Objective: To evaluate the ability to disentangle the differences of …
controversial results. Objective: To evaluate the ability to disentangle the differences of …
Emotion expressions and cognitive impairments in the elderly: review of the contactless detection approach
The aging population in Canada has been increasing continuously throughout the past
decades. Amongst this demographic, around 11% suffer from some form of cognitive …
decades. Amongst this demographic, around 11% suffer from some form of cognitive …
Cortex level connectivity between ACT-R modules during EEG-based n-back task
D Das Chakladar - Cognitive Neurodynamics, 2024 - Springer
Finding the synchronization between Electroencephalography (EEG) and human cognition
is an essential aspect of cognitive neuroscience. Adaptive Control of Thought-Rational (ACT …
is an essential aspect of cognitive neuroscience. Adaptive Control of Thought-Rational (ACT …
Enhancing Positive Emotions through Interactive Virtual Reality Experiences: An EEG-Based Investigation
Virtual reality (VR), as an immersive interactive technology, holds the potential to promote
feelings of well-being by evoking positive emotions. However, the underlying causes and …
feelings of well-being by evoking positive emotions. However, the underlying causes and …