Emotion Assessment: Arousal Evaluation Using EEG's and Peripheral Physiological Signals

By Guillaume Chanel, Julien Kronegg, Didier Grandjean, Thierry Pun. Multimedia Content Representation, Classification and Security, 2006

439 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/4a8d3d0d51f1ec70a90dcd1fd13fab18da530523

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

Citations in the corpus

EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation (2014, result): “Other machine learning techniques, such as naive Bayes, K-NN, LDA, and ANN, have been applied in other studies [12–15].”
Emotion recognition using brain activity (2008, background): “tried to recognize only the arousal dimension of emotion from EEG and other physiological measures [5].”
Human Emotion Recognition: Review of Sensors and Methods (2020, methodology): “com), GSR sensor, plethysmograph, respiration belt and a temperature sensor [92]”
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019, methodology): “[11], employed Naı̈ve Bayes classifier to categorize three arousal assessment based emotion classes from specific”
Classification of human emotion from EEG using discrete wavelet transform (2010, background): “Several approaches have been reported by different researchers on finding the correlation between the emotional changes and EEG signals [6-8].”
EEG-Based Emotion Recognition in Music Listening (2010, background): “[18] obtained an average accuracy of 58% for distinguishing three emotional classes using image-arousal emotional dataset of four participants.”
Emotional state classification from EEG data using machine learning approach (2014, background): “[41] proposed an emotion recognition system that uses EEG to classify two emotional states.”
Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space (2011, background): “Other researchers (e.g., [12]) handle the issue of unbalanced classes by imposing equal a priori probability.”
Short-term emotion assessment in a recall paradigm (2009, background): “The interest of fusing peripheral and EEG features for emotion assessment was shown in (Chanel et al., 2006) through a simple concatenation of feature sets.”