A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Emotion recognition and detection methods: A comprehensive survey
Human emotion recognition through artificial intelligence is one of the most popular
research fields among researchers nowadays. The fields of Human Computer Interaction …
research fields among researchers nowadays. The fields of Human Computer Interaction …
Facial expression recognition: A survey
Y Huang, F Chen, S Lv, X Wang - Symmetry, 2019 - mdpi.com
Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …
intentions, is an important and promising field of computer vision and artificial intelligence …
Driver's facial expression recognition in real-time for safe driving
In recent years, researchers of deep neural networks (DNNs)-based facial expression
recognition (FER) have reported results showing that these approaches overcome the …
recognition (FER) have reported results showing that these approaches overcome the …
A survey on big data-driven digital phenotyping of mental health
The landscape of mental health has undergone tremendous changes within the last two
decades, but the research on mental health is still at the initial stage with substantial …
decades, but the research on mental health is still at the initial stage with substantial …
Facetracer: A search engine for large collections of images with faces
We have created the first image search engine based entirely on faces. Using simple text
queries such as “smiling men with blond hair and mustaches,” users can search through …
queries such as “smiling men with blond hair and mustaches,” users can search through …
AdaBoost for feature selection, classification and its relation with SVM, a review
R Wang - Physics Procedia, 2012 - Elsevier
In order to clarify the role of AdaBoost algorithm for feature selection, classifier learning and
its relation with SVM, this paper provided a brief introduction to the AdaBoost which is used …
its relation with SVM, this paper provided a brief introduction to the AdaBoost which is used …
Toward practical smile detection
J Whitehill, G Littlewort, I Fasel… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Machine learning approaches have produced some of the highest reported performances
for facial expression recognition. However, to date, nearly all automatic facial expression …
for facial expression recognition. However, to date, nearly all automatic facial expression …
Artificial Emotional Intelligence: Conventional and deep learning approach
Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …
machines, and objects in various encouraging aspects nowadays; emotion recognition is …
A real time facial expression classification system using local binary patterns
Facial expression analysis is one of the popular fields of research in human computer
interaction (HCI). It has several applications in next generation user interfaces, human …
interaction (HCI). It has several applications in next generation user interfaces, human …