Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …

Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …

Exploiting biometric measures, especially neurophysiological data of evaluator for product
evaluation is advantageous at avoiding bias and subjectivity in expert scoring process. This …

Multimodal emotion recognition implies the use of different resources and techniques for
identifying and recognizing human emotions. A variety of data sources such as faces …

Emotion recognition has gained a lot of traction lately. It is also a very fast growing field with
a huge amount of investment and research going into it. In this paper, we discuss video …

Facial expressions help in understanding the intentions of others as they are an essential
means of communication, revealing human emotions. Recently, thermal imaging has been …

Deep learning models show great potential in applications involving video-based affect
recognition, including human-computer interaction, robotic interfaces, stress and depression …

This paper shows an advanced method that is able to achieve accurate recognition of fear
facial emotions by providing quantitative evaluation of other negative emotions. The …

This paper examines whether a virtual assistant with emotional intelligence improves the
Human-Machine Interaction (HMI) in the specific use case of price negotiations. We propose …

Emotion recognition plays a vital role in human machine interface process. Various aspects
such as speech and facial recognition are being used to understand and identify the …