Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
COGMEN: COntextualized GNN based multimodal emotion recognitioN
Emotions are an inherent part of human interactions, and consequently, it is imperative to
develop AI systems that understand and recognize human emotions. During a conversation …
develop AI systems that understand and recognize human emotions. During a conversation …
Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …
Because of its contained environment and built-in computing and networking capabilities, a …
A taxonomy on smart healthcare technologies: Security framework, case study, and future directions
S Chaudhary, R Kakkar, NK Jadav, A Nair… - Journal of …, 2022 - Wiley Online Library
There is a massive transformation in the traditional healthcare system from the specialist‐
centric approach to the patient‐centric approach by adopting modern and intelligent …
centric approach to the patient‐centric approach by adopting modern and intelligent …
Feature extraction with handcrafted methods and convolutional neural networks for facial emotion recognition
This research compares the facial expression recognition accuracy achieved using image
features extracted (a) manually through handcrafted methods and (b) automatically through …
features extracted (a) manually through handcrafted methods and (b) automatically through …
Layer-wise fusion with modality independence modeling for multi-modal emotion recognition
Multi-modal emotion recognition has gained increasing attention in recent years due to its
widespread applications and the advances in multi-modal learning approaches. However …
widespread applications and the advances in multi-modal learning approaches. However …
Multimodal emotion recognition with modality-pairwise unsupervised contrastive loss
Emotion recognition is involved in several real-world applications. With an increase in
available modalities, automatic understanding of emotions is being performed more …
available modalities, automatic understanding of emotions is being performed more …
[PDF][PDF] Vetaverse: A survey on the intersection of metaverse, vehicles, and transportation systems
Since 2021, the term “Metaverse” has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …
Because of its contained environment and built-in computing and networking capabilities, a …
Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface
Human affects such as emotions, moods, feelings are increasingly being considered as key
parameter to enhance the interaction of human with diverse machines and systems …
parameter to enhance the interaction of human with diverse machines and systems …