Emotion classification using flexible analytic wavelet transform for electroencephalogram signals
Sign Up to like & getrecommendations! Published in 2018 at "Health Information Science and Systems"
DOI: 10.1007/s13755-018-0048-y
Abstract: Emotion based brain computer system finds applications for impaired people to communicate with surroundings. In this paper, electroencephalogram (EEG) database of four emotions (happy, fear, sad, and relax) is recorded and flexible analytic wavelet transform… read more here.
Keywords: flexible analytic; emotion classification; wavelet transform; analytic wavelet ... See more keywords
Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset
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DOI: 10.1109/access.2021.3051281
Abstract: Emotion recognition in real-time using electroencephalography (EEG) signals play a key role in human-computer interaction and affective computing. The existing emotion recognition models, that use stimuli such as music and pictures in controlled lab settings… read more here.
Keywords: deap dataset; multi domain; emotion; emotion classification ... See more keywords
Multi-Label Emotion Classification on Code-Mixed Text: Data and Methods
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143819
Abstract: The multi-label emotion classification task aims to identify all possible emotions in a written text that best represent the author’s mental state. In recent years, multi-label emotion classification attracted the attention of researchers due to… read more here.
Keywords: multi label; label emotion; emotion classification; code mixed ... See more keywords
Interpretable Emotion Classification Using Multidomain Feature of EEG Signals
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3266322
Abstract: Research on affective computing by physiological signals has become a new and important research branch of artificial intelligence. However, most of the research focuses only on the improvement of emotion classification models while neglecting the… read more here.
Keywords: classification; feature; interpretable emotion; emotion classification ... See more keywords
Music Emotion Classification Method Based on Deep Learning and Improved Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5181899
Abstract: Since the existing music emotion classification researches focus on the single-modal analysis of audio or lyrics, the correlation among models are neglected, which lead to partial information loss. Therefore, a music emotion classification method based… read more here.
Keywords: attention mechanism; music emotion; classification; emotion ... See more keywords
Multi-Frequent Band Collaborative EEG Emotion Classification Method Based on Optimal Projection and Shared Dictionary Learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.848511
Abstract: Affective computing is concerned with simulating people’s psychological cognitive processes, of which emotion classification is an important part. Electroencephalogram (EEG), as an electrophysiological indicator capable of recording brain activity, is portable and non-invasive. It has… read more here.
Keywords: method; frequency; emotion classification; classification ... See more keywords
Precision-Based Weighted Blending Distributed Ensemble Model for Emotion Classification
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15020055
Abstract: Focusing on emotion recognition, this paper addresses the task of emotion classification and its performance with respect to accuracy, by investigating the capabilities of a distributed ensemble model using precision-based weighted blending. Research on emotion… read more here.
Keywords: precision; emotion classification; model; ensemble model ... See more keywords
EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12080977
Abstract: The use of electroencephalography to recognize human emotions is a key technology for advancing human–computer interactions. This study proposes an improved deep convolutional neural network model for emotion classification using a non-end-to-end training method that… read more here.
Keywords: neural network; emotion; convolutional neural; emotion classification ... See more keywords
ELM-Based Active Learning via Asymmetric Samplers: Constructing a Multi-Class Text Corpus for Emotion Classification
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14081698
Abstract: A high-quality annotated text corpus is vital when training a deep learning model. However, it is insurmountable to acquire absolute abundant label-balanced data because of the huge labor and time costs needed in the labeling… read more here.
Keywords: active learning; emotion; multi class; emotion classification ... See more keywords
Emotion Classification from EEG Signals Using Time-Frequency-DWT Features and ANN
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Computational Chemistry"
DOI: 10.4236/jcc.2017.53009
Abstract: This paper proposes the use of time-frequency and wavelet transform features for emotion recognition via EEG signals. The proposed experiment has been carefully designed with EEG electrodes placed at FP1 and FP2 and using images… read more here.
Keywords: eeg signals; emotion classification; time; time frequency ... See more keywords
Multi-label emotion classification of Urdu tweets
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.896
Abstract: Urdu is a widely used language in South Asia and worldwide. While there are similar datasets available in English, we created the first multi-label emotion dataset consisting of 6,043 tweets and six basic emotions in… read more here.
Keywords: label emotion; emotion classification; emotion; multi label ... See more keywords