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 …

Machine learning for human emotion recognition: a comprehensive review

EMG Younis, S Mohsen, EH Houssein… - Neural Computing and …, 2024 - Springer
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …

Multimodal emotion recognition with deep learning: advancements, challenges, and future directions

AV Geetha, T Mala, D Priyanka, E Uma - Information Fusion, 2024 - Elsevier
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 …

[HTML][HTML] A survey on databases for multimodal emotion recognition and an introduction to the VIRI (visible and InfraRed image) database

MFH Siddiqui, P Dhakal, X Yang, AY Javaid - Multimodal Technologies …, 2022 - mdpi.com
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
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 …

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 …

From CNNs to transformers in multimodal human action recognition: A survey

MB Shaikh, D Chai, SMS Islam, N Akhtar - ACM Transactions on …, 2024 - dl.acm.org
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 …

Group synchrony for emotion recognition using physiological signals

P Bota, T Zhang, A El Ali, A Fred… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
During group interactions, we react and modulate our emotions and behaviour to the group
through phenomena including emotion contagion and physiological synchrony. Previous …

[HTML][HTML] Machine learning techniques for arousal classification from electrodermal activity: A systematic review

R Sánchez-Reolid, F López de la Rosa… - Sensors, 2022 - mdpi.com
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 …

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 …