Abstract Human Face expression Recognition is one of the most powerful and challenging
tasks in social communication. Generally, face expressions are natural and direct means for …

Embedded intelligence (EI) is an emerging research field and has the objective to
incorporate machine learning algorithms and intelligent decision-making capabilities into …

Deep Learning algorithms are designed in such a way that they mimic the function of the
human cerebral cortex. These algorithms are representations of deep neural networks ie …

Sentiment identification on facial expression is an interesting study domain with applications
in various disciplines, including security, health, and human-machine interfaces. The main …

Facial expression recognition (FER) in the wild is a novel and challenging topic in the field of
human emotion perception. Different kinds of convolutional neural network (CNN) …

Imaging sensing holds a remarkable place in modern electronics and optoelectronics for the
complementary metal-oxide-semiconductor integration of high-speed optical …

Human facial expression and emotion play pivotal roles in our day-to-day communication,
and detecting them are one of the formidable tasks in the field of human–computer …

Deep Convolutional Neural Network (DCNN) is widely used as state-of-the art models for
image classification. There is a variety of applications related to image classification such as …

Human emotions using textual cues, speech patterns, and facial expressions can give
insight into their mental state. Although there are several uni-modal datasets for emotion …

Facial expression is a type of communication and is useful in many areas of computer vision,
including intelligent visual surveillance, human-robot interaction and human behavior …