Automatic analysis of facial expressions: The state of the art

M Pantic, LJM Rothkrantz - IEEE Transactions on pattern …, 2000 - ieeexplore.ieee.org
Humans detect and interpret faces and facial expressions in a scene with little or no effort.
Still, development of an automated system that accomplishes this task is rather difficult …

[PDF][PDF] Facial expression recognition: A brief tutorial overview

CC Chibelushi, F Bourel - CVonline: On-Line Compendium of Computer …, 2003 - Citeseer
Facial expressions convey non-verbal cues, which play an important role in interpersonal
relations. Automatic recognition of facial expressions can be an important component of …

“How do you know that I don't understand?” A look at the future of intelligent tutoring systems

A Sarrafzadeh, S Alexander, F Dadgostar, C Fan… - Computers in Human …, 2008 - Elsevier
Many software systems would significantly improve performance if they could adapt to the
emotional state of the user, for example if Intelligent Tutoring Systems (ITSs), ATM's, ticketing …

Multimodality and active listenership

D Knight - 2011 - torrossa.com
Current methodologies in corpus linguistics have revolutionized the way we look at
language. They allow us to make objective observations about written and spoken …

Review of automated emotion-based quantification of facial expression in Parkinson's patients

B Sonawane, P Sharma - The Visual Computer, 2021 - Springer
Among various means of communication, the human face is utmost powerful. Persons
suffering from Parkinson's disease (PD) experience hypomimia which often leads to …

Emotional characteristics and time series analysis of Internet public opinion participants based on emotional feature words

F Jia, CC Chen - International Journal of Advanced Robotic …, 2020 - journals.sagepub.com
In recent years, with the rapid development and wide application of the Internet, it has
become the main place for the generation and dissemination of public opinion. To grasp the …

Classification of facial expressions using k-nearest neighbor classifier

ASM Sohail, P Bhattacharya - … 2007, Rocquencourt, France, March 28-30 …, 2007 - Springer
In this paper, we have presented a fully automatic technique for detection and classification
of the six basic facial expressions from nearly frontal face images. Facial expressions are …

[PDF][PDF] Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering.

W Fan, N Bouguila - IJCAI, 2013 - academia.edu
During the past decade, finite mixture modeling has become a well-established technique in
data analysis and clustering. This paper focus on develo** a variational inference …

Learning partially-observed hidden conditional random fields for facial expression recognition

KY Chang, TL Liu, SH Lai - 2009 IEEE Conference on …, 2009 - ieeexplore.ieee.org
This paper describes a novel graphical model approach to seamlessly coupling and
simultaneously analyzing facial emotions and the action units. Our method is based on the …

[PDF][PDF] Facial expression recognition using artificial neural networks

M Gargesha, P Kuchi, IDK Torkkola - Artif Neural Comput Syst, 2002 - Citeseer
Abstract Analysis and recognition of human facial expressions from images and video forms
the basis for understanding image content at a higher semantic level. Expression …