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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
We present a multimodal data set for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40Expand
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Multimedia content analysis for emotional characterization of music video clips
Nowadays, tags play an important role in the search and retrieval process in multimedia content sharing social networks. As the amount of multimedia contents explosively increases, it is aExpand
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Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos
Recently, the field of automatic recognition of users. affective states has gained a great deal of attention. Automatic, implicit recognition of affective states has many applications, ranging fromExpand
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Implicit emotional tagging of multimedia using EEG signals and brain computer interface
In multimedia content sharing social networks, tags assigned to content play an important role in search and retrieval. In other words, by annotating multimedia content, users can associate a word orExpand
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Affective content analysis of music video clips
Nowadays, the amount of multimedia contents is explosively increasing and it is often a challenging problem to find a content that will be appealing or matches users' current mood or affective state.Expand
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Classification of EEG signals correlated with alcohol abusers
The availability of quantitative biological markers that are correlated with qualitative psychiatric phenotypes helps us utilize automatic methods to diagnose and classify these phenotypes. EEGExpand
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Classification of EEG signals using Dempster Shafer theory and a k-nearest neighbor classifier
A brain computer interface (BCI) is a communication system, which translates brain activity into commands for a computer or other devices. Nearly all BCIs contain as a core component a classificationExpand
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Affect recognition based on physiological changes during the watching of music videos
Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies andExpand
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Using cardio-respiratory signals to recognize emotions elicited by watching music video clips
The automatic recognition of human emotions from physiological signals is of increasing interest in many applications. Images with high emotional content have been shown to alter signals such as theExpand
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Ocular artifact removal from EEG: A comparison of subspace projection and adaptive filtering methods
One of the fundamental challenges in EEG signal processing is the selection of a proper method to correct ocular artifacts in the recorded electroencephalogram (EEG). Several methods have beenExpand
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