Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

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 …

Facial expressions are an ideal means of communicating one's emotions or intentions to
others. This overview will focus on human facial expression recognition as well as robotic …

Abstract Background and Objectives In order to improve assistive technologies for people
with reduced mobility, this paper develops a new intelligent real-time emotion detection …

Active appearance model (AAM) is a powerful generative method for modeling deformable
objects. The model decouples the shape and the texture variations of objects, which is …

This chapter provides a thorough description of a bimodal emotion recognition system that
uses face and speech analysis. Hidden Markov models (HMMs) are used to describe the …

The human face is a rich source of information for the viewer and facial expressions are a
major component in judging a person's affective state, intention and personality. Facial …

A social robot is able to perceive the information about the environment (both in terms of
persons and objects populating the scene), to reason about the acquired information and to …

User emotion detection is a very useful input to develop affective computing strategies in
modern human computer interaction. In this paper, an effective system for facial emotional …

This paper discusses the development of a portable real time emotion detection system for
the use of disabled. This system allows the user to train the system with his/her profile …