Automatic facial expression recognition has become a progressive research area since it plays a major role in human-computer-interaction. The facial expression recognition finds major application in areas like social interaction and social intelligence. A review of various techniques used in facial expression recognition like principal component analysis (PCA), linear discriminant analysis (LDA...

Fast, reliable, and marker-free facial expression analysis still remains to be a difficult task in computer vision research. In this paper, the concept of speech-assisted facial expression analysis and synthesis is proposed, which shows that the speech-driven facial animation technique not only can be used for expression synthesis, it also provides useful information for expression analysis. Fr...

In this paper, we present a facial expression recognition method using feature-adaptive motion energy analysis. Our method is simplicityoriented and avoids complicated face model representations or computationally expensive algorithms to estimate facial motions. Instead, the proposed method uses a simplified action-based face model to reduce the computational complexity of the entire facial exp...

This work presents a technique for the analysis of Facial Electromyogram signal activities to classify five different facial expressions for Computer-Muscle Interfacing applications. Facial Electromyogram (FEMG) is a technique for recording the asynchronous activation of neuronal inside the face muscles with non-invasive electrodes. FEMG pattern recognition is a difficult task for the researche...

We present a system for Internet communication that enhances traditional text-based chatting with real-time analysis and synthesis of the chat parties’ facial expressions. It is composed of three main modules: a real-time facial expression analysis component, a 3D agent with facial expression synthesis and text-to-speech capabilities – a talking head, and a communication module. So far we have ...

We propose a novel expression transfer method based on an analysis of the frequency of multi-expression facial images. We locate the facial features automatically and describe the shape deformations between a neutral expression and non-neutral expressions. The subtle expression changes are important visual clues to distinguish different expressions. These changes are more salient in the frequen...

As peoples use body language or non-verbal language such as gesture and facial expression in communication; computers will also be able to communicate humans .In the digital era, there are various computational models are already exist for recognition of different facial expressions (Happy, Sad, Disgust, Angry and neutral) but we are trying to propose a computational model of facial expression ...

We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. Expression classification is based on Facial Action Coding System (FACS) action units (AUs), and discrimination is performed using Hidden Markov Models (HMMs). Three methods are developed to extract facial expression in...

a r t i c l e i n f o Keywords: Facial behaviour analysis Facial expression recognition 3D facial surface 3D facial surface sequences (4D faces) Automatic facial expression recognition constitutes an active research field due to the latest advances in computing technology that make the user's experience a clear priority. The majority of work conducted in this area involves 2D imagery, despite t...

Although facial pain expressions are considered to be the most visible pain behaviors, it is known that the association between pain intensity and facial pain expression is weak for chronic pain. The authors hypothesized that the facial pain expressiveness was altered in chronic pain and investigated it with a mental rotation task using various facial expression, which seems to be associated wi...