Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …

We present AMIGOS-A dataset for Multimodal research of affect, personality traits and mood
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …

Research in automatic affect recognition has come a long way. This paper describes the fifth
Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a …

This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …

This paper discusses the baseline for the Emotion Recognition in the Wild (EmotiW) 2016
challenge. Continuing on the theme of automatic affect recognitionin the wild', the EmotiW …

This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge.
EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International …

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 …

Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress
in the past few decades driven by its importance for applications in psychology, security …

Automatic recognition of the students' affective states is a challenging task. These affective
states are recognized using their facial expressions, hand gestures, and body postures. An …