Facial expression recognition using computer vision: A systematic review
Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …
applications in the contemporary world: marketing, psychology, surveillance, and …
Face expression recognition and analysis: the state of the art
V Bettadapura - arXiv preprint arXiv:1203.6722, 2012 - arxiv.org
The automatic recognition of facial expressions has been an active research topic since the
early nineties. There have been several advances in the past few years in terms of face …
early nineties. There have been several advances in the past few years in terms of face …
Facial expression recognition using facial movement features
L Zhang, D Tjondronegoro - IEEE transactions on affective …, 2011 - ieeexplore.ieee.org
Facial expression is an important channel for human communication and can be applied in
many real applications. One critical step for facial expression recognition (FER) is to …
many real applications. One critical step for facial expression recognition (FER) is to …
Simultaneous facial feature tracking and facial expression recognition
The tracking and recognition of facial activities from images or videos have attracted great
attention in computer vision field. Facial activities are characterized by three levels. First, in …
attention in computer vision field. Facial activities are characterized by three levels. First, in …
Confidence preserving machine for facial action unit detection
Varied sources of error contribute to the challenge of facial action unit detection. Previous
approaches address specific and known sources. However, many sources are unknown. To …
approaches address specific and known sources. However, many sources are unknown. To …
Needs and challenges in human computer interaction for processing social emotional information
A Esposito, AM Esposito, C Vogel - Pattern Recognition Letters, 2015 - Elsevier
Demand for and delivery so far of sophisticated computational instruments able to
recognize, process and store relevant interactional signals, as well as interact with people …
recognize, process and store relevant interactional signals, as well as interact with people …
Semi-supervised facial expression recognition using reduced spatial features and deep belief networks
A semi-supervised emotion recognition algorithm using reduced features as well as a novel
feature selection approach is proposed. The proposed algorithm consists of a cascaded …
feature selection approach is proposed. The proposed algorithm consists of a cascaded …
A survey on human emotion recognition approaches, databases and applications
C Vinola, K Vimaladevi - ELCVIA: electronic letters on computer vision …, 2015 - ddd.uab.cat
This paper presents the various emotion classification and recognition systems which
implement methods aiming at improving Human Machine Interaction. The modalities and …
implement methods aiming at improving Human Machine Interaction. The modalities and …
The design and development of a lie detection system using facial micro-expressions
M Owayjan, A Kashour, N Al Haddad… - … on advances in …, 2012 - ieeexplore.ieee.org
Detecting lies is crucial in many areas, such as airport security, police investigations, counter-
terrorism, etc. One technique to detect lies is through the identification of facial micro …
terrorism, etc. One technique to detect lies is through the identification of facial micro …
Pose-invariant facial expression recognition using variable-intensity templates
In this paper, we propose a method for pose-invariant facial expression recognition from
monocular video sequences. The advantage of our method is that, unlike existing methods …
monocular video sequences. The advantage of our method is that, unlike existing methods …