Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …

In the field of Automatic Facial Expression Signal Recognition (AFESR) at video
communication system, the fusing feature extraction is playing an extremely important role in …

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 three-dimensional convolutional neural network (3D-CNN) and long short-term memory
(LSTM) have consistently outperformed many approaches in video-based facial expression …

Autism spectrum disorder (ASD) is a complex neuro-developmental disorder that affects
social skills, language, speech and communication. Early detection of ASD individuals …

Emotion recognition is defined as identifying human emotion and is directly related to
different fields such as human–computer interfaces, human emotional processing, irrational …

This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to
enhance a value proposition by influencing different areas of services in the travel and …

Predicting the students' emotional and behavioral engagements using computer vision
techniques is a challenging task. Though there are several state-of-the-art techniques for …

With the advent of deep learning, the research on facial expression recognition (FER) has
received a lot of interest. Different deep convolutional neural network (DCNN) architectures …