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   Articles with "emotion classification" as a keyword



Emotion classification using flexible analytic wavelet transform for electroencephalogram signals

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recommendations! 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

Music emotion classification based on random swap algorithm

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-22336-0

Abstract: We performed an unsupervised cluster analysis of emotions in music. We considered ten distinct perceived emotions (happy, sad, amusing, annoying, anxious, relaxing, dreamy, energizing, joyful, and neutral) from four genres (rock, pop, classical, and electronic).… read more here.

Keywords: music emotion; emotion; random swap; emotion classification ... See more keywords

Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset

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recommendations! Published in 2021 at "IEEE Access"

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

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recommendations! 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

An Efficient Approach for Code-Mixed Emotion Classification Applying Machine Learning

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3598754

Abstract: Emotion classification aims to find and extract all possible emotions from a piece of text that best represent the author’s state of mind. The task of emotion classification is still considered challenging for under-resourced languages,… read more here.

Keywords: classification; emotion classification; language; code mixed ... See more keywords

A Dual-Pathway Driver Emotion Classification Network Using Multitask Learning Strategy: A Joint Verification

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3527206

Abstract: Negative emotion (e.g., anger and fear) may influence normal driver behavior, resulting in serious traffic accidents. Thus, developing an automatic driver emotion classification method is necessary and urgent. Most of the existing methods are performed… read more here.

Keywords: emotion; driver; driver emotion; network ... See more keywords

Interpretable Emotion Classification Using Multidomain Feature of EEG Signals

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recommendations! 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

One for All: A Unified Generative Framework for Image Emotion Classification

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2023.3341840

Abstract: Image Emotion Classification (IEC) is an essential research area, offering valuable insights into user emotional states for a wide range of applications, including opinion mining, recommendation systems, and mental health treatment. The challenges associated with… read more here.

Keywords: image emotion; emotion classification; emotion; framework ... See more keywords

Music Emotion Classification Method Based on Deep Learning and Improved Attention Mechanism

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recommendations! 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

Electroencephalogram based human emotion classification for valence and arousal using machine learning approach

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recommendations! Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"

DOI: 10.11591/ijeecs.v33.i2.pp920-931

Abstract: Humans have unique ability to express emotions and electroencephalogram (EEG) signals are one of the sought-after ways to analyze a person’s emotional state. However, extracting proper emotion related features from EEG and finding corresponding emotion… read more here.

Keywords: classification; emotion; valence arousal; feature extraction ... See more keywords

Multi-Frequent Band Collaborative EEG Emotion Classification Method Based on Optimal Projection and Shared Dictionary Learning

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recommendations! 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