Research on emotion classification based on EEG
نویسندگان
چکیده
منابع مشابه
Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review
Recent developments and studies in brain-computer interface (BCI) technologies have facilitated emotion detection and classification. Many BCI studies have sought to investigate, detect, and recognize participants’ emotional affective states. The applied domains for these studies are varied, and include such fields as communication, education, entertainment, and medicine. To understand trends i...
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15 صفحه اولComparison of Classification Methods for EEG-based Emotion Recognition
In this paper, we review different classification methods for emotion recognition from EEG and perform a detailed comparison of these methods on a relatively larger dataset of 45 experiments. We propose to combine the classifiers using stacking to improve the emotion recognition accuracies. Experimental results show that the combination of classifiers using stacking can achieve higher average a...
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Emotions are necessary to understand the behavior of an individual. andrealistic decision-making. Since number of techniques can be used for emotion recognition such as voice, facial expression of an individual but these channels can be faked. In this paper, main emphasis is given toward the acquisition of EEG signal emotion evoking picturesprovided by International Affective Picture S decompos...
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To overcome the individual differences, an accurate electroencephalogram (EEG)-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, which is labor-intensive and time-consuming. Transfer learning (TL) has drawn increasing attention in the field of EEG signal mining in recent years. The TL leverages existing data collected from oth...
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ژورنال
عنوان ژورنال: Proceedings of International Conference on Artificial Life and Robotics
سال: 2020
ISSN: 2188-7829
DOI: 10.5954/icarob.2020.os9-11