Automatic emotion recognition is a burgeoning field of research and has its roots in
psychology and cognitive science. This article comprehensively reviews multimodal emotion …

Abstract Machine learning-based feature extraction and classification models play a vital
role in evaluating and detecting patterns in multivariate facial expressions. Most …

Assessing the olfactory preferences of consumers is an important aspect of fragrance
product development and marketing. With the advancement of wearable device …

In the realm of global smart education, optimizing classroom learning efficiency is
paramount. This study harnesses cutting-edge technology to delve into learning …

Electroencephalography (EEG) has garnered significant attention in emotion recognition
research due to its non-invasiveness and relatively high accuracy. However, many studies …

Abstract Facial Micro-Expressions (MEs) are transient and spontaneous, reflecting a
person's authentic internal emotions and have more significant value in many fields. Due to …

Facial expressions convey human emotions and can be categorized into macro-expressions
(MaEs) and micro-expressions (MiEs) based on duration and intensity. While MaEs are …

Editorial for pattern recognition letters special issue on face-based emotion understanding |
Pattern Recognition Letters skip to main content ACM Digital Library home ACM corporate …