This article aims to summarize and describe research on the topic of automatic group
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …

For human–robot interaction (HRI), perception is one of the most important capabilities. This
paper reviews several widely used perception methods of HRI in social robots. Specifically …

Algorithms are everywhere, organizing the near limitless data that exists in our world.
Derived from our every search, like, click, and purchase, algorithms determine the news we …

A training process for facial expression recognition is usually performed sequentially in three
individual stages: feature learning, feature selection, and classifier construction. Extensive …

In this paper, a novel deep neural network (DNN)-driven feature learning method is
proposed and applied to multi-view facial expression recognition (FER). In this method …

Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …

Access to well-labeled recordings of facial expression is critical to progress in automated
facial expression recognition. With few exceptions, publicly available databases are limited …

In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting
research into automatically detecting individual facial expressions. Since then, the CK …

Quality data recorded in varied realistic environments is vital for effective human face related
research. Currently available datasets for human facial expression analysis have been …

Deception is a very common phenomenon and its detection can be beneficial to our daily
lives. Compared with other deception cues, micro-expression has shown great potential as a …