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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
TLDR
We present a multimodal data set for the analysis of human affective states. Expand
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Multimedia content analysis for emotional characterization of music video clips
TLDR
We show that using the proposed methodology, a relatively high performance (up to 90%) of affect recognition is obtained. Expand
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Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos
TLDR
We show robust correlations between users' self-assessments of arousal and valence and the frequency powers of their EEG activity. Expand
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Implicit emotional tagging of multimedia using EEG signals and brain computer interface
TLDR
In multimedia content sharing social networks, tags assigned to content play an important role in search and retrieval. Expand
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Affective content analysis of music video clips
TLDR
In this paper, affective content analysis of music video clips is performed to determine the emotion they can induce in people. Expand
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Classification of EEG signals correlated with alcohol abusers
TLDR
The availability of quantitative biological markers that are correlated with qualitative psychiatric phenotypes helps us utilize automatic methods to diagnose and classify these phenotypes. Expand
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Classification of EEG signals using Dempster Shafer theory and a k-nearest neighbor classifier
TLDR
A brain computer interface (BCI) is a communication system, which translates brain activity into commands for a computer or other devices. Expand
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Affect recognition based on physiological changes during the watching of music videos
TLDR
We propose a novel asymmetry index based on relative wavelet entropy for measuring the asymmetry in the energy distribution of EEG signals, which is used for the classification of induced positive/negative valence, high/low arousal, and like/dislike. Expand
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Using cardio-respiratory signals to recognize emotions elicited by watching music video clips
TLDR
The automatic recognition of human emotions from physiological signals is of increasing interest in many applications. Expand
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Ocular artifact removal from EEG: A comparison of subspace projection and adaptive filtering methods
TLDR
A comparative study of the performances of these methods using two measures, namely the mean square error (MSE) and the computational time of each algorithm. Expand
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