Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …
system capable of automatically recognizing facial expressions from images and video has …
A review on automatic facial expression recognition systems assisted by multimodal sensor data
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 …
as mental diseases diagnosis and human social/physiological interaction detection. With the …
Amigos: A dataset for affect, personality and mood research on individuals and groups
JA Miranda-Correa, MK Abadi… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …
From individual to group-level emotion recognition: Emotiw 5.0
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 …
Emotion Recognition in the Wild (EmotiW) challenge 2017. EmotiW aims at providing a …
Emotiw 2018: Audio-video, student engagement and group-level affect prediction
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 …
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …
Emotiw 2016: Video and group-level emotion recognition challenges
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 …
challenge. Continuing on the theme of automatic affect recognitionin the wild', the EmotiW …
Emotiw 2020: Driver gaze, group emotion, student engagement and physiological signal based challenges
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 …
EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International …
Automatic emotion recognition for groups: a review
EA Veltmeijer, C Gerritsen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
Facial expression analysis under partial occlusion: A survey
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 …
in the past few decades driven by its importance for applications in psychology, security …
Affective database for e-learning and classroom environments using Indian students' faces, hand gestures and body postures
TS Ashwin, RMR Guddeti - Future Generation Computer Systems, 2020 - Elsevier
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 …
states are recognized using their facial expressions, hand gestures, and body postures. An …