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 …
[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Digital twins in unmanned aerial vehicles for rapid medical resource delivery in epidemics
The purposes are to explore the effect of Digital Twins (DTs) in Unmanned Aerial Vehicles
(UAVs) on providing medical resources quickly and accurately during COVID-19 prevention …
(UAVs) on providing medical resources quickly and accurately during COVID-19 prevention …
Local learning with deep and handcrafted features for facial expression recognition
We present an approach that combines automatic features learned by convolutional neural
networks (CNN) and handcrafted features computed by the bag-of-visual-words (BOVW) …
networks (CNN) and handcrafted features computed by the bag-of-visual-words (BOVW) …
Facial expression recognition using local gravitational force descriptor-based deep convolution neural networks
An image is worth a thousand words; hence, a face image illustrates extensive details about
the specification, gender, age, and emotional states of mind. Facial expressions play an …
the specification, gender, age, and emotional states of mind. Facial expressions play an …
Pyramid with super resolution for in-the-wild facial expression recognition
Facial Expression Recognition (FER) is a challenging task that improves natural human-
computer interaction. This paper focuses on automatic FER on a single in-the-wild (ITW) …
computer interaction. This paper focuses on automatic FER on a single in-the-wild (ITW) …
[HTML][HTML] Facial expression recognition using computer vision: A systematic review
Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …
applications in the contemporary world: marketing, psychology, surveillance, and …
[HTML][HTML] Sentiment analysis on images using convolutional neural networks based Inception-V3 transfer learning approach
Sentiment analysis has become a precious tool for businesses because it can be used in so
many ways: to find out what customers think about products and services, to build customer …
many ways: to find out what customers think about products and services, to build customer …
[HTML][HTML] Development and progress in sensors and technologies for human emotion recognition
S Pal, S Mukhopadhyay, N Suryadevara - Sensors, 2021 - mdpi.com
With the advancement of human-computer interaction, robotics, and especially humanoid
robots, there is an increasing trend for human-to-human communications over online …
robots, there is an increasing trend for human-to-human communications over online …
FER-net: facial expression recognition using deep neural net
Automatic facial expression recognition (FER) is one of the most challenging tasks in
computer vision. FER admits a wide range of applications in human–computer interaction …
computer vision. FER admits a wide range of applications in human–computer interaction …