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Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …
applications to human–computer interaction. The expression of human emotion depends on …
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 …
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] 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 …
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals
Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …
interaction (HCI). The goal of affective computing is to study and develop the theories …
Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning
In the last few years, the multi-modal emotion recognition has become an important research
issue in the affective computing community due to its wide range of applications that include …
issue in the affective computing community due to its wide range of applications that include …
Using transformers for multimodal emotion recognition: Taxonomies and state of the art review
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 …
An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer
Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …
have drawn a great attention in the field of human-computer interaction. Therefore, many …
Multimodal emotion recognition based on facial expressions, speech, and EEG
Goal: As an essential human-machine interactive task, emotion recognition has become an
emerging area over the decades. Although previous attempts to classify emotions have …
emerging area over the decades. Although previous attempts to classify emotions have …