Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …

The influence of technology's progress on the ability to read people's emotions has received
increased attention in recent years. It is essential to identify the elderly's feelings because it …

Evaluating speaker emotion in conversations is crucial for various applications requiring
human-computer interaction. However, co-occurrences of multiple emotional states …

The objective of the work is to develop an automated emotion recognition system specifically
targeted to elderly people. A multi-modal system is developed which has integrated …

The main objective of this work is to investigate the role of transfer learning for enhancing
the performance of subject-independent stress detection models. Using Time Series Feature …

Intra-speaker variability, caused by emotional speech, is a real threat to the performance of
speaker recognition systems. In fact, as human beings, we are constantly changing our …

The rapid growth of technology has made people lead digital dynamic lives, where
technology dominates normal human life. With the advancements in technology, there is a …

In this chapter, we extend and leverage the temporal segment networks framework for
emotion recognition in children and in the wild. To that end, we explore the effect of different …

Task-oriented dialogue systems use deep reinforcement learning (DRL) to learn policies,
and agent interaction with user models can help the agent enhance its generalization …

Expression recognition is an important and growing field in AI. It has applications in fields
including, but not limited to, medicine, security, and entertainment. A large portion of …