Emotion is a cognitive state that occurs in humans with external stimulation [1]. In recent
years, psychological-related illnesses and mental health challenges have arisen due to …

The increasing amount of solid waste is becoming a significant problem that needs to be
addressed urgently. The reliable and accurate classification method is a crucial step in …

Video is an important medium in communication and entertainment, and thus, an intelligent
understanding of videos has attracted widespread interest in academic community. Video …

Facial expressions have been proven to be the most effective way for the brain to recognize
human emotions in a variety of contexts. With the exponentially increasing research for …

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 …

Emotions significantly affect learning. The affective states of students can be automatically
recognized through behavioral cues using machine learning and deep learning techniques …

Objective. Electroencephalogram (EEG) based emotion recognition mainly extracts
traditional features from time domain and frequency domain, and the classification accuracy …

Human emotions can be recognized from facial expressions captured in videos. It is a
growing research area in which many have attempted to improve video emotion detection in …

People resonate more with music when exposed to visual information, and music enhances
their perception of video content. Cross-modal recommendation techniques can be used to …

This thesis investigated the reliable features that assist a Facial Expression Recognition
(FER) system in recognizing emotions in unconstrained videos. It observed three challenges …