[HTML][HTML] Classification of human emotion from EEG using discrete wavelet transform
M Murugappan, N Ramachandran, Y Sazali - Journal of biomedical …, 2010 - scirp.org
In this paper, we summarize the human emotion recognition using different set of
electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual …
electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual …
Wavelet-based emotion recognition system using EEG signal
Z Mohammadi, J Frounchi, M Amiri - Neural Computing and Applications, 2017 - Springer
In this research, emotional states in arousal/valence dimensions have been classified using
minimum number of channels and frequency bands of EEG signal. Using the discrete …
minimum number of channels and frequency bands of EEG signal. Using the discrete …
Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals
B Zali-Vargahan, A Charmin, H Kalbkhani… - … Signal Processing and …, 2023 - Elsevier
In recent years, human emotion recognition has received great attention since it plays an
essential role in human-computer interactions. Traditional methods focused on …
essential role in human-computer interactions. Traditional methods focused on …
EEG based emotion recognition using fusion feature extraction method
Q Gao, C Wang, Z Wang, X Song, E Dong… - Multimedia Tools and …, 2020 - Springer
As a high-level function of the human brain, emotion is the external manifestation of people's
psychological characteristics. The emotion has a great impact on people's personality and …
psychological characteristics. The emotion has a great impact on people's personality and …
Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method
Background and objective: The recognition of emotional states is a crucial step in the
development of a brain-computer interface (BCI) system. Emotion recognition system finds …
development of a brain-computer interface (BCI) system. Emotion recognition system finds …
EEG-based classification of emotions using empirical mode decomposition and autoregressive model
Y Zhang, S Zhang, X Ji - Multimedia Tools and Applications, 2018 - Springer
Emotion can be classified based on 2-dimensional valence-arousal model which includes
four categories of emotional states, such as high arousal high valence, low arousal high …
four categories of emotional states, such as high arousal high valence, low arousal high …
Cross-subject emotion recognition using flexible analytic wavelet transform from EEG signals
V Gupta, MD Chopda, RB Pachori - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Human emotion is a physical or psychological process which is triggered either consciously
or unconsciously due to perception of any object or situation. The electroencephalogram …
or unconsciously due to perception of any object or situation. The electroencephalogram …
An evolutionary optimized variational mode decomposition for emotion recognition
Emotions provide valuable information regarding habits, health, mental activities, etc.
Emotion recognition has attracted wide interests in affective computing, medical, brain …
Emotion recognition has attracted wide interests in affective computing, medical, brain …
Real-time subject-dependent EEG-based emotion recognition algorithm
In this paper, we proposed a real-time subject-dependent EEG-based emotion recognition
algorithm and tested it on experiments' databases and the benchmark database DEAP. The …
algorithm and tested it on experiments' databases and the benchmark database DEAP. The …
Subject independent emotion recognition system for people with facial deformity: an EEG based approach
Emotion recognition from Electroencephalography (EEG) is a better choice for the people
with facial deformity like where facial data is not accurate or not available for example …
with facial deformity like where facial data is not accurate or not available for example …