Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications

Y Su, Y Liu, Y Xiao, J Ma, D Li - Frontiers in Neuroscience, 2024 - frontiersin.org
Music is an archaic form of emotional expression and arousal that can induce strong
emotional experiences in listeners, which has important research and practical value in …

A neuroergonomic approach fostered by wearable EEG for the multimodal assessment of drivers trainees

G Di Flumeri, A Giorgi, D Germano, V Ronca, A Vozzi… - Sensors, 2023 - mdpi.com
When assessing trainees' progresses during a driving training program, instructors can only
rely on the evaluation of a trainee's explicit behavior and their performance, without having …

Optimizing 1D-CNN-based emotion recognition process through channel and feature selection from EEG signals

H Aldawsari, S Al-Ahmadi, F Muhammad - Diagnostics, 2023 - mdpi.com
EEG-based emotion recognition has numerous real-world applications in fields such as
affective computing, human-computer interaction, and mental health monitoring. This offers …

[HTML][HTML] Lightweight attention mechanisms for EEG emotion recognition for brain computer interface

NK Gunda, MI Khalaf, S Bhatnagar, A Quraishi… - Journal of Neuroscience …, 2024 - Elsevier
Background In the realm of brain-computer interfaces (BCI), identifying emotions from
electroencephalogram (EEG) data is a difficult endeavor because of the volume of data, the …

Advancements in EEG Emotion Recognition: Leveraging Multi-Modal Database Integration

A Roshdy, A Karar, SA Kork, T Beyrouthy, A Nait-ali - Applied Sciences, 2024 - mdpi.com
This paper addresses the limitations of relying solely on facial expressions for emotion
recognition by proposing an advanced approach that emphasizes continuous monitoring of …

Simplicial Homology Global Optimization of EEG Signal Extraction for Emotion Recognition

A Roshdy, S Al Kork, T Beyrouthy, A Nait-Ali - Robotics, 2023 - mdpi.com
Emotion recognition is a vital part of human functioning. textcolorredIt enables individuals to
respond suitably to environmental events and develop self-awareness. The fast-paced …

Electroencephalography correlates of fear of heights in a virtual reality environment

A Apicella, S Barbato, LAB Chacόn, G D'Errico… - Acta IMEKO, 2023 - acta.imeko.org
An electroencephalography (EEG)-based classification system of three levels of fear of
heights is proposed. A virtual reality (VR) scenario representing a canyon was exploited to …

Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey

Z Jiang, V Van Zoest, W Deng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Many countries around the world are facing a shortage of healthcare resources, especially
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …

Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework

A Mohammad, F Siddiqui, MA Alam, SM Idrees - BMC bioinformatics, 2023 - Springer
The commercial adoption of BCI technologies for both clinical and non-clinical applications
is drawing scientists to the creation of wearable devices for daily living. Emotions are …