Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
[图书][B] Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning
BP Woolf - 2010 - books.google.com
Building Intelligent Interactive Tutors discusses educational systems that assess a student's
knowledge and are adaptive to a student's learning needs. The impact of computers has not …
knowledge and are adaptive to a student's learning needs. The impact of computers has not …
Content-based multimedia information retrieval: State of the art and challenges
Extending beyond the boundaries of science, art, and culture, content-based multimedia
information retrieval provides new paradigms and methods for searching through the myriad …
information retrieval provides new paradigms and methods for searching through the myriad …
Toward an affect-sensitive multimodal human-computer interaction
M Pantic, LJM Rothkrantz - Proceedings of the IEEE, 2003 - ieeexplore.ieee.org
The ability to recognize affective states of a person we are communicating with is the core of
emotional intelligence. Emotional intelligence is a facet of human intelligence that has been …
emotional intelligence. Emotional intelligence is a facet of human intelligence that has been …
FER-net: facial expression recognition using deep neural net
Automatic facial expression recognition (FER) is one of the most challenging tasks in
computer vision. FER admits a wide range of applications in human–computer interaction …
computer vision. FER admits a wide range of applications in human–computer interaction …
Real-time classification of evoked emotions using facial feature tracking and physiological responses
We present automated, real-time models built with machine learning algorithms which use
videotapes of subjects' faces in conjunction with physiological measurements to predict …
videotapes of subjects' faces in conjunction with physiological measurements to predict …
[图书][B] Machine learning in computer vision
N Sebe - 2005 - books.google.com
Annotation" This book comes right on time... It is amazing so early in a new field that a book
appears which connects theory to algorithms and through them to convincing applications …
appears which connects theory to algorithms and through them to convincing applications …
Maintaining optimal challenge in computer games through real-time physiological feedback
PRNSC Liu - Foundations of Augmented Cognition, 2005 - books.google.com
Computer based games are steadily becoming a powerful tool for entertainment and
education. When the aim of the game is to keep the player maximally involved, it would be …
education. When the aim of the game is to keep the player maximally involved, it would be …
Uncertainty based under-sampling for learning naive bayes classifiers under imbalanced data sets
In many real world classification tasks, all data classes are not represented equally. This
problem, known also as the curse of class imbalanced in data sets, has a potential impact in …
problem, known also as the curse of class imbalanced in data sets, has a potential impact in …