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Review of studies on emotion recognition and judgment based on physiological signals
W Lin, C Li - Applied Sciences, 2023 - mdpi.com
People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …
psychological and physical states, but also play a vital role in people's communication …
Machine learning for human emotion recognition: a comprehensive review
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …
psychology, philosophy, computing, and others. Emotions influence how we make …
Multimodal emotion recognition with deep learning: advancements, challenges, and future directions
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …
[HTML][HTML] A survey on databases for multimodal emotion recognition and an introduction to the VIRI (visible and InfraRed image) database
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …
interaction between machines and humans. Their prowess in emanating an unambiguous …
Interfering implicit attitudes of adopting recycled products from construction wastes
Z Ding, Q Yang, Z Zhang, J Chen - Journal of Cleaner Production, 2024 - Elsevier
The rapid growth of the construction industry has led to significant environmental issues,
notably the sharp escalation in construction waste. Recent endeavors have prioritized on …
notably the sharp escalation in construction waste. Recent endeavors have prioritized on …
Music emotion recognition based on segment-level two-stage learning
N He, S Ferguson - International Journal of Multimedia Information …, 2022 - Springer
Abstract In most Music Emotion Recognition (MER) tasks, researchers tend to use
supervised learning models based on music features and corresponding annotation …
supervised learning models based on music features and corresponding annotation …
From CNNs to transformers in multimodal human action recognition: A survey
Due to its widespread applications, human action recognition is one of the most widely
studied research problems in Computer Vision. Recent studies have shown that addressing …
studied research problems in Computer Vision. Recent studies have shown that addressing …
Group synchrony for emotion recognition using physiological signals
During group interactions, we react and modulate our emotions and behaviour to the group
through phenomena including emotion contagion and physiological synchrony. Previous …
through phenomena including emotion contagion and physiological synchrony. Previous …
[HTML][HTML] Machine learning techniques for arousal classification from electrodermal activity: A systematic review
This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …
Residual multimodal Transformer for expression‐EEG fusion continuous emotion recognition
X **, J **ao, L **, X Zhang - CAAI Transactions on Intelligence …, 2024 - Wiley Online Library
Continuous emotion recognition is to predict emotion states through affective information
and more focus on the continuous variation of emotion. Fusion of electroencephalography …
and more focus on the continuous variation of emotion. Fusion of electroencephalography …