A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition

Y Jiang, W Li, MS Hossain, M Chen, A Alelaiwi… - Information …, 2020 - Elsevier
With the rapid development of artificial intelligence and mobile Internet, the new
requirements for human-computer interaction have been put forward. The personalized …

Emotion recognition with convolutional neural network and EEG-based EFDMs

F Wang, S Wu, W Zhang, Z Xu, Y Zhang, C Wu… - Neuropsychologia, 2020 - Elsevier
Electroencephalogram (EEG), as a direct response to brain activity, can be used to detect
mental states and physical conditions. Among various EEG-based emotion recognition …

Modified support vector machine for detecting stress level using EEG signals

R Gupta, MA Alam, P Agarwal - Computational intelligence and …, 2020 - Wiley Online Library
Stress is categorized as a condition of mental strain or pressure approaches because of
upsetting or requesting conditions. There are various sources of stress initiation …

EEG motor-imagery BCI system based on maximum overlap discrete wavelet transform (MODWT) and cubic SVM

SS Abdulwahab, HK Khleaf… - Journal of Physics …, 2021 - iopscience.iop.org
Communication of the human brain with the surroundings became reality by using Brain-
Computer Interface (BCI) based mechanism. Electroencephalography (EEG) being the non …

Emotion recognition using explainable genetically optimized fuzzy ART ensembles

WS Liew, CK Loo, S Wermter - IEEE Access, 2021 - ieeexplore.ieee.org
There is a growing demand for explainability in complex artificial intelligence solutions to
support critical applications' decision-making processes. Barriers to explainable processes …

A survey on emotion recognition from EEG signals: approaches, techniques & challenges

P Santhiya, S Chitrakala - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Interest have been grown in recent years, emotion recognition system using EEG signal from
brain waves for identifying personality traits based on mind-machine interfaces (brain …

Detection of stress in human brain

P Mukherjee, AH Roy - 2019 Second International Conference …, 2019 - ieeexplore.ieee.org
The essence of the paper is to develop a stress detection mechanism and a stress level
indicator circuit for measuring the stress level of human brain using the Electro …

Multi channel brain EEG signals based emotional arousal classification with unsupervised feature learning using autoencoders

D Ayata, Y Yaslan, M Kamasak - 2017 25th Signal Processing …, 2017 - ieeexplore.ieee.org
The importance of learning important features in an automatic manner is growing
exponentially as the volume of data and number of systems using pattern recognition …

Stress-Nets-A Novel LSTM Ensembled Single Feed Forward Layers for Stress Classification with EEG Signals

MS Raja, S Jerritta - Journal of Electrical Systems, 2024 - search.proquest.com
Mental instability and emotional imbalance of the individual can be reflected in the form of
stress which results in an inappropriate work ethics. There are various methods for the …

Emotion recognition from EEG signal using ISO-FLANN with firefly algorithm

J Preethi, S Sowmiya - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Emotion has a greater importance in communication, perception and decision making. The
ability to identify the emotional states of people surrounding us is an essential part of natural …