Facial expression recognition using weighted mixture deep neural network based on double-channel facial images
B Yang, J Cao, R Ni, Y Zhang - IEEE access, 2017 - ieeexplore.ieee.org
Facial expression recognition (FER) is a significant task for the machines to understand the
emotional changes in human beings. However, accurate hand-crafted features that are …
emotional changes in human beings. However, accurate hand-crafted features that are …
Affective video recommender systems: A survey
D Wang, X Zhao - Frontiers in Neuroscience, 2022 - frontiersin.org
Traditional video recommendation provides the viewers with customized media content
according to their historical records (eg, ratings, reviews). However, such systems tend to …
according to their historical records (eg, ratings, reviews). However, such systems tend to …
Facial expression classification based on SVM, KNN and MLP classifiers
HI Dino, MB Abdulrazzaq - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Facial Expression Recognition (FER) has been an active topic of papers that were
researched during 1990s till now, according to its importance, FER has achieved an …
researched during 1990s till now, according to its importance, FER has achieved an …
Automated recognition of pain in cats
Facial expressions in non-human animals are closely linked to their internal affective states,
with the majority of empirical work focusing on facial shape changes associated with pain …
with the majority of empirical work focusing on facial shape changes associated with pain …
Jointly network: a network based on CNN and RBM for gesture recognition
Hand belongs to non-rigid objects and is rich in variety, making gesture recognition more
difficult. The essence of dynamic gesture recognition is the classification and recognition of …
difficult. The essence of dynamic gesture recognition is the classification and recognition of …
Fast facial expression recognition using local binary features and shallow neural networks
Facial expression recognition applications demand accurate and fast algorithms that can run
in real time on platforms with limited computational resources. We propose an algorithm that …
in real time on platforms with limited computational resources. We propose an algorithm that …
Facial emotion recognition using temporal relational network: an application to E-learning
E-learning enables the dissemination of valuable academic information to all users
regardless of where they are situated. One of the challenges faced by e-learning systems is …
regardless of where they are situated. One of the challenges faced by e-learning systems is …
Marker versus markerless augmented reality. Which has more impact on users?
PQ Brito, J Stoyanova - International Journal of Human–Computer …, 2018 - Taylor & Francis
Augmented Reality (AR) platforms are being used for an extensive array of applications.
One of the critical moments of online shopping is the choice of product. Ideally, consumers …
One of the critical moments of online shopping is the choice of product. Ideally, consumers …
Lung nodules diagnosis based on evolutionary convolutional neural network
GLF da Silva, OP da Silva Neto, AC Silva… - Multimedia Tools and …, 2017 - Springer
Lung cancer presents the highest cause of death among patients around the world, in
addition of being one of the smallest survival rates after diagnosis. In this paper, we exploit a …
addition of being one of the smallest survival rates after diagnosis. In this paper, we exploit a …
A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots
We have recently seen significant advancements in the development of robotic machines
that are designed to assist people with their daily lives. Socially assistive robots are now …
that are designed to assist people with their daily lives. Socially assistive robots are now …