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 …

With the advancement of human-computer interaction, robotics, and especially humanoid
robots, there is an increasing trend for human-to-human communications over online …

Emotion identification based on multimodal data (eg, audio, video, text, etc.) is one of the
most demanding and important research fields, with various uses. In this context, this …

Speech recognition is one of the fastest-growing engineering technologies. It has several
applications in different areas, and provides many potential benefits. A lot of people are …

Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …

For humans, emotions are important and play a significant role in human insight. Emotions
are commonly identified by speech, facial expression and gesture. Recently …

Emotions are fundamental part of human interactions. Emotion recognition is the approach
of discovering human emotions. Generally, emotion recognition is done using text, speech …

Human emotions serve to have an important role in human behaviors. This study will identify
and recognize emotions with the use of facial expressions for the convolutional neural …

In this work, user's emotion using its facial expressions will be detected. These expressions
can be derived from the live feed via system's camera or any pre-exisiting image available in …

Virtual coaching has emerged as a promising solution to extend independent living for older
adults. A virtual coach system is an always-attentive personalized system that continuously …