A review of affective computing: From unimodal analysis to multimodal fusion

S Poria, E Cambria, R Bajpai, A Hussain - Information fusion, 2017 - Elsevier
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Emotion recognition and detection methods: A comprehensive survey

A Saxena, A Khanna, D Gupta - Journal of Artificial Intelligence and …, 2020 - iecscience.org
Human emotion recognition through artificial intelligence is one of the most popular
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 …

Driver's facial expression recognition in real-time for safe driving

M Jeong, BC Ko - Sensors, 2018 - mdpi.com
In recent years, researchers of deep neural networks (DNNs)-based facial expression
recognition (FER) have reported results showing that these approaches overcome the …

A survey on big data-driven digital phenotyping of mental health

Y Liang, X Zheng, DD Zeng - Information Fusion, 2019 - Elsevier
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 …

Facetracer: A search engine for large collections of images with faces

N Kumar, P Belhumeur, S Nayar - … Vision, Marseille, France, October 12-18 …, 2008 - Springer
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 …

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 …

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 …

Artificial Emotional Intelligence: Conventional and deep learning approach

H Kumar, A Martin - Expert Systems with Applications, 2023 - Elsevier
Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …

A real time facial expression classification system using local binary patterns

SL Happy, A George, A Routray - 2012 4th International …, 2012 - ieeexplore.ieee.org
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 …