Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Recent research has shown that facial expressions and body gestures are two significant
implications in identifying human emotions. However, these studies mainly focus on …

Multimodal emotion recognition has gained much traction in the field of affective computing,
human–computer interaction (HCI), artificial intelligence (AI), and user experience (UX) …

This study introduces an automatic emotion recognition system (AER) focusing on skeletal-
based kinematic datasets for enhanced human–computer interaction. Departing from …

With the development of artificial intelligence, people's demand for emotional interaction in
virtual reality experience is becoming higher and higher. When the traditional emotion …

Interactive architecture designs enable spatial forms to respond to human activities by
integrating technology, programming, and spatial experience. Most interactive programs …

Nowadays, there is a growing demand to understand the mental well-being of office
workers, driven by increased awareness of its impact on productivity and the need for …

A survey is presented focused on using pose estimation techniques in Emotional recognition
using various technologies normal cameras, and depth cameras for real-time, and the …

Background: STEAM education is one of the main approaches to developing students' 21st
century skills. However, successfully implementing STEAM education in primary and …

This thesis can be divided into two parts: action recognition and emotion recognition. Each
part is done in two method, classic method of Machine Learning and deep network. In the …