A survey of machine learning techniques in physiology based mental stress detection systems
SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …
have been gaining enormous popularity and importance in recent years. Physiological …
Application of Higuchi's fractal dimension from basic to clinical neurophysiology: a review
Background and objective For more than 20 years, Higuchi's fractal dimension (HFD), as a
nonlinear method, has occupied an important place in the analysis of biological signals. The …
nonlinear method, has occupied an important place in the analysis of biological signals. The …
Emotions recognition using EEG signals: A survey
SM Alarcao, MJ Fonseca - IEEE transactions on affective …, 2017 - ieeexplore.ieee.org
Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …
decision-making processes, and in the perception of the world around us. Due to the recent …
Accurate EEG-based emotion recognition on combined features using deep convolutional neural networks
JX Chen, PW Zhang, ZJ Mao, YF Huang… - IEEE …, 2019 - ieeexplore.ieee.org
In order to improve the accuracy of emotional recognition by end-to-end automatic learning
of emotional features in spatial and temporal dimensions of electroencephalogram (EEG) …
of emotional features in spatial and temporal dimensions of electroencephalogram (EEG) …
Emotion recognition from multi-channel EEG via deep forest
Recently, deep neural networks (DNNs) have been applied to emotion recognition tasks
based on electroencephalography (EEG), and have achieved better performance than …
based on electroencephalography (EEG), and have achieved better performance than …
A novel bi-hemispheric discrepancy model for EEG emotion recognition
Neuroscience study has revealed the discrepancy of emotion expression between the left
and right hemispheres of human brain. Inspired by this study, in this article, we propose a …
and right hemispheres of human brain. Inspired by this study, in this article, we propose a …
Real-time movie-induced discrete emotion recognition from EEG signals
Recognition of a human's continuous emotional states in real time plays an important role in
machine emotional intelligence and human-machine interaction. Existing real-time emotion …
machine emotional intelligence and human-machine interaction. Existing real-time emotion …
Psychological and physiological human responses to simulated and real environments: A comparison between Photographs, 360 Panoramas, and Virtual Reality
JL Higuera-Trujillo, JLT Maldonado, CL Millán - Applied ergonomics, 2017 - Elsevier
Psychological research into human factors frequently uses simulations to study the
relationship between human behaviour and the environment. Their validity depends on their …
relationship between human behaviour and the environment. Their validity depends on their …
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Emotion is interpreted as a psycho-physiological process, and it is associated with
personality, behavior, motivation, and character of a person. The objective of affective …
personality, behavior, motivation, and character of a person. The objective of affective …
Comparison of different feature extraction methods for EEG-based emotion recognition
EEG-based emotion recognition is a challenging and active research area in affective
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …