EEG-based BCI emotion recognition: A survey

EP Torres, EA Torres, M Hernández-Álvarez, SG Yoo - Sensors, 2020 - mdpi.com
Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …

[PDF][PDF] The challenges of emotion recognition methods based on electroencephalogram signals: A literature review

IMA Wirawan, R Wardoyo, D Lelono - Int. J. Electr. Comput. Eng, 2022 - academia.edu
Electroencephalogram (EEG) signals in recognizing emotions have several advantages.
Still, the success of this study, however, is strongly influenced by: i) the distribution of the …

Non-contact monitoring and classification of breathing pattern for the supervision of people infected by COVID-19

AT Purnomo, DB Lin, T Adiprabowo, WF Hendria - Sensors, 2021 - mdpi.com
During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …

CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis

MS Khan, N Salsabil, MGR Alam, MAA Dewan… - Scientific Reports, 2022 - nature.com
Recognizing emotional state of human using brain signal is an active research domain with
several open challenges. In this research, we propose a signal spectrogram image based …

Effects of data augmentation method borderline-SMOTE on emotion recognition of EEG signals based on convolutional neural network

Y Chen, R Chang, J Guo - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, with the continuous development of artificial intelligence and brain-computer
interface technology, emotion recognition based on physiological signals, especially …

Emotion recognition of EEG signals based on the ensemble learning method: AdaBoost

Y Chen, R Chang, J Guo - Mathematical Problems in …, 2021 - Wiley Online Library
In recent years, with the continuous development of artificial intelligence and brain‐
computer interface technology, emotion recognition based on physiological signals …

An efficient machine learning-based emotional valence recognition approach towards wearable eeg

L Abdel-Hamid - Sensors, 2023 - mdpi.com
Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as
healthcare and education. Facial expressions and tone of speech have been previously …

EEG classification of normal and alcoholic by deep learning

H Li, L Wu - Brain Sciences, 2022 - mdpi.com
Alcohol dependence is a common mental disease worldwide. Excessive alcohol
consumption may lead to alcoholism and many complications. In severe cases, it will lead to …

Electroencephalogram emotion recognition using combined features in variational mode decomposition domain

ZT Liu, SJ Hu, J She, Z Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Using electroencephalogram (EEG) to recognize human emotion has attracted increasing
attention. However, feature extraction from EEG is a challenging work because it is a …

A brain to uav communication model using stacked ensemble csp algorithm based on motor imagery eeg signal

S Parui, D Basu, U Ghosh… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
The creation of non-invasive Neuro-headset technology has resulted in a variety of
applications such as control, automation, and vehicular control. Unmanned Aerial Vehicles …