Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
Using transformers for multimodal emotion recognition: Taxonomies and state of the art review
S Hazmoune, F Bougamouza - Engineering Applications of Artificial …, 2024 - Elsevier
Emotion recognition is an aspect of human-computer interaction, affective computing, and
social robotics. Conventional unimodal approaches for emotion recognition, depending on …
social robotics. Conventional unimodal approaches for emotion recognition, depending on …
LSTM-modeling of emotion recognition using peripheral physiological signals in naturalistic conversations
The automated recognition of human emotions plays an important role in developing
machines with emotional intelligence. Major research efforts are dedicated to the …
machines with emotional intelligence. Major research efforts are dedicated to the …
Two birds with one stone: Knowledge-embedded temporal convolutional transformer for depression detection and emotion recognition
W Zheng, L Yan, FY Wang - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
Can brain signals reveal inner alignment with human languages?
Abstract Brain Signals, such as Electroencephalography (EEG), and human languages have
been widely explored independently for many downstream tasks, however, the connection …
been widely explored independently for many downstream tasks, however, the connection …
Multimodal physiological signals fusion for online emotion recognition
Multimodal physiological-based emotion recognition is one of the most available but
challenging studies due to complexity of emotions and individual differences in …
challenging studies due to complexity of emotions and individual differences in …
Multi-scale transformer-based network for emotion recognition from multi physiological signals
T Vu, VT Huynh, SH Kim - arXiv preprint arXiv:2305.00769, 2023 - arxiv.org
This paper presents an efficient Multi-scale Transformer-based approach for the task of
Emotion recognition from Physiological data, which has gained widespread attention in the …
Emotion recognition from Physiological data, which has gained widespread attention in the …
Online multi-hypergraph fusion learning for cross-subject emotion recognition
Multimodal fusion for emotion recognition has received increasing attention from
researchers because of its ability to effectively leverage multimodal complementary …
researchers because of its ability to effectively leverage multimodal complementary …
An Immersive and Interactive VR Dataset to Elicit Emotions
Images and videos are widely used to elicit emotions; however, their visual appeal differs
from real-world experiences. With virtual reality becoming more realistic, immersive, and …
from real-world experiences. With virtual reality becoming more realistic, immersive, and …
GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition
Y Gao, H Zhao, Y Xiao, Z Zhang - Proceedings of the 25th International …, 2023 - dl.acm.org
Graph convolutional networks (GCNs) have achieved excellent results in image
classification and natural language processing. However, at present, the application of …
classification and natural language processing. However, at present, the application of …