In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …

Neuromarketing (NM) is an application of neuroimaging and physiological tools to record
the neural correlates of consumers' behaviour (eg, decision-making, emotion, attention, and …

Facial expression recognition has been an active research area in the past 10 years, with
growing application areas including avatar animation, neuromarketing and sociable robots …

The integration of two or more intelligent systems, such as deep neural networks and fuzzy
techniques, results in so-called hybrid intelligent systems. These have recently attracted …

Abstract Facial Expression Recognition (FER) plays the vital role in the Human Computer
Interface (HCI) applications. The illumination and pose variations affect the FER adversely …

Abstract The Whale Optimization Algorithm (WOA) is a recently developed algorithm that is
based on the chasing mechanism of humpback whales. Benefiting from the unique structure …

In view of the high dimensionality, nonrigidity, multiscale variation and the influence of
illumination and angle on facial expressions, it is quite difficult to obtain facial expression …

Human emotions are important features in human communication. It is also equally
important to recognize and classify emotions using computers, which drives this research to …

Automated facial expression recognition can greatly improve the human-machine interface.
The machine can provide better and more personalized services when it knows the human's …

Deep learning has received increasing attention in all fields and has made considerable
progress in facial expression recognition (FER). Mainly, the conventional FER methods are …