Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources () in our () daily lives () brings up new
alternatives () for emotion recognition in several domains including e-health, e-learning …
alternatives () for emotion recognition in several domains including e-health, e-learning …
Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Emotion is an important driver of human decision-making and communication. With the
recent rise of human–computer interaction, affective computing has become a trending …
recent rise of human–computer interaction, affective computing has become a trending …
Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews
Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …
understanding their performance and improving decision making. Based on aspect-based …
Virtual-reality inter-promotion technology for metaverse: A survey
The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
Shape matters: deformable patch attack
Though deep neural networks (DNNs) have demonstrated excellent performance in
computer vision, they are susceptible and vulnerable to carefully crafted adversarial …
computer vision, they are susceptible and vulnerable to carefully crafted adversarial …
Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos
Current benchmarks for facial expression recognition (FER) mainly focus on static images,
while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether …
while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether …
[HTML][HTML] An ongoing review of speech emotion recognition
User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Rethinking the learning paradigm for dynamic facial expression recognition
Abstract Dynamic Facial Expression Recognition (DFER) is a rapidly developing field that
focuses on recognizing facial expressions in video format. Previous research has …
focuses on recognizing facial expressions in video format. Previous research has …
A new deep convolutional neural network incorporating attentional mechanisms for ECG emotion recognition
Using ECG signals captured by wearable devices for emotion recognition is a feasible
solution. We propose a deep convolutional neural network incorporating attentional …
solution. We propose a deep convolutional neural network incorporating attentional …
Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos
Current works of facial expression learning in video consume significant computational
resources to learn spatial channel feature representations and temporal relationships. To …
resources to learn spatial channel feature representations and temporal relationships. To …