Facial sentiment analysis using AI techniques: state-of-the-art, taxonomies, and challenges
With the advancements in machine and deep learning algorithms, the envision of various
critical real-life applications in computer vision becomes possible. One of the applications is …
critical real-life applications in computer vision becomes possible. One of the applications is …
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 …
A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
[PDF][PDF] Facial expression recognition using bidirectional LSTM-CNN
R Febrian, BM Halim, M Christina… - Procedia Comput …, 2023 - researchgate.net
Nowadays, there has been much attention on computer vision regarding human-computer
interaction, especially facial expression recognition (FER). Many researchers have explored …
interaction, especially facial expression recognition (FER). Many researchers have explored …
STT-Net: Simplified Temporal Transformer for Emotion Recognition
Emotion recognition is one of the crucial topics in computer vision to efficiently recognize the
expression of humans through faces. Recently, transformers have been recognized as a …
expression of humans through faces. Recently, transformers have been recognized as a …
MsmcNet: A modular few-shot learning framework for signal modulation classification
With the development of deep learning (DL) technology, the feature extraction capability of
networks has gradually been enhanced, and high accuracy has been achieved in signal …
networks has gradually been enhanced, and high accuracy has been achieved in signal …
Facial expression recognition using densely connected convolutional neural network and hierarchical spatial attention
This paper is dedicated to eliminating the impact of redundant information from emotional-
unrelated regions on facial expression recognition (FER). To this end, a densely connected …
unrelated regions on facial expression recognition (FER). To this end, a densely connected …
Temporal colour-coded facial-expression recognition using convolutional neural network
This research primarily aims to solve the problem of the high suicide rate in NZ; in this
project, we plan to implement an AI-based recognition system for the long-term mental …
project, we plan to implement an AI-based recognition system for the long-term mental …
An Improved Deep Convolutional LSTM for Human Activity Recognition Using Wearable Sensors
N Zhang, Y Song, D Fang, Z Gao… - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Behavior recognition technologies based on sensor devices show strong development
potential as sensor devices are increasingly applied in people's lives. However, some …
potential as sensor devices are increasingly applied in people's lives. However, some …
Hierarchical group-level emotion recognition
K Fujii, D Sugimura, T Hamamoto - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Group-level emotion recognition is a technique for estimating the emotion of a group of
people. In this paper, we propose a novel method for group-level emotion recognition. Our …
people. In this paper, we propose a novel method for group-level emotion recognition. Our …