In this paper, we compare classification results, of six facial expressions including joy,
surprise, sadness, anger, disgust, and fear, relying on two different methods of distance …

Assessment of facial paralysis (FP) and quantitative grading of facial asymmetry are
essential in order to quantify the extent of the condition as well as to follow its improvement …

Affective computing endows computers with the ability to observe and understand, thus
generates a variety of emotional characteristics. Facial expression has continuous signal …

With the development of pattern recognition and artificial intelligence, emotion recognition
based on facial expression has attracted a great deal of research interest. Facial emotion …

The usefulness of affect aware systems can be summarized as optimizing the system's
services to improve the user experience. A means to achieve this objective is to make the …

The emotional facial expression is an important element in human communication, along
with other forms of non-verbal communication, such as gestures and postures. The human …

The state-of-the-art methods in classifying 3-D representation of the face involve challenges
in extracting representative features directly from the large volume of facial data. These …

Grading of facial paralysis has been the subject of numerous works in the past half century
and is thus essential in order to quantify the extent of the condition and to evaluate the effect …

We present a multi-modal feature fusion framework for Kinect-based Facial Expression
Recognition (FER). The framework extracts and pre-processes 2D and 3D features …

The face embodies a large portion of the human emotionally expressive behaviour.
Moreover, facial expressions are used to display emotional states and to manage …