[HTML][HTML] Review of EEG-based biometrics in 5G-IoT: Current trends and future prospects

T Beyrouthy, N Mostafa, A Roshdy, AS Karar, S Alkork - Applied Sciences, 2024 - mdpi.com
The increasing integration of the Internet of Things (IoT) into daily life has led to significant
changes in our social interactions. The advent of innovative IoT solutions, combined with the …

Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis

MA Hamid, J Singh - Artificial Intelligence Review, 2023 - Springer
Cognitive reappraisal intends to study the significance of an event concerning any emotional
reaction. Understanding the efficacy of cognitive reappraisal in emotion regulation requires …

EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier

R Vempati, LD Sharma - Journal of Neuroscience Methods, 2023 - Elsevier
Recently, electroencephalogram (EEG) signals have shown great potential to recognize
human emotions. The goal of effective computing is to assist computers in understanding …

Emotion Fusion-Sense (Emo Fu-Sense)–A novel multimodal emotion classification technique

M Umair, N Rashid, US Khan, A Hamza… - … Signal Processing and …, 2024 - Elsevier
Human emotions play a vital role in overall well-being. With the advent of advance
technologies growing interest has been observed in developing a multimodal emotion …

[HTML][HTML] Enhancing EEG-Based attachment style prediction: unveiling the impact of feature domains

I Laufer, D Mizrahi, I Zuckerman - Frontiers in Psychology, 2024 - frontiersin.org
Introduction Attachment styles are crucial in human relationships and have been explored
through neurophysiological responses and EEG data analysis. This study investigates the …

[HTML][HTML] Towards Effective Emotion Detection: A Comprehensive Machine Learning Approach on EEG Signals

I Ul Hassan, RH Ali, Z Abideen, AZ Ijaz, TA Khan - BioMedInformatics, 2023 - mdpi.com
Emotion detection assumes a pivotal role in the evaluation of adverse psychological
attributes, such as stress, anxiety, and depression. This study undertakes an exploration into …

[HTML][HTML] A Systematic Review on Effect of Music Intervention on Cognitive Impairment using EEG, fMRI, and Cognitive Assessment Modalities

KD Rajakumar, J Mohan - Results in Engineering, 2024 - Elsevier
Cognitive disorders, which are neurocognitive impairments in adults often manifest as poor
memory function including recall deficits, attention deficits, low semantic processing, and …

An emotion recognition method based on EWT-3D–CNN–BiLSTM-GRU-AT model

M Çelebi, S Öztürk, K Kaplan - Computers in Biology and Medicine, 2024 - Elsevier
This has become a significant study area in recent years because of its use in brain-machine
interaction (BMI). The robustness problem of emotion classification is one of the most basic …

Novel fractal pattern based features for EEG-based emotion identification

N Goel, N Rathee - Biomedical Signal Processing and Control, 2024 - Elsevier
Comprehending the manifestation of emotional states in EEG signals is a well-established
field of research spanning neuropsychology and biomedical signal processing. Two main …

Cross-Subject Emotion Recognition from Multichannel EEG Signals using Multivariate Decomposition and Ensemble Learning

R Vempati, LD Sharma… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emotions are mental states that determine the behavior of a person in society. Automated
identification of a person's emotion is vital in different applications such as brain-computer …