HERO: Human emotions recognition for realizing intelligent Internet of Things

W Hua, F Dai, L Huang, J Xiong, G Gui - IEEE Access, 2019 - ieeexplore.ieee.org
Human emotions recognition (HERO) is considered as one of the important techniques for
realizing the intelligent Internet of Things. The demand for a robust and precise facial …

[HTML][HTML] Facial expression recognition via ResNet-50

B Li, D Lima - International Journal of Cognitive Computing in …, 2021 - Elsevier
As one of the most important directions in the field of computer vision, facial emotion
recognition plays an important role in people's daily work and life. Human emotion …

Efficient facial expression recognition algorithm based on hierarchical deep neural network structure

JH Kim, BG Kim, PP Roy, DM Jeong - IEEE access, 2019 - ieeexplore.ieee.org
With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …

A face emotion recognition method using convolutional neural network and image edge computing

H Zhang, A Jolfaei, M Alazab - IEEE Access, 2019 - ieeexplore.ieee.org
To avoid the complex process of explicit feature extraction in traditional facial expression
recognition, a face expression recognition method based on a convolutional neural network …

Extended deep neural network for facial emotion recognition

DK Jain, P Shamsolmoali, P Sehdev - Pattern Recognition Letters, 2019 - Elsevier
Humans use facial expressions to show their emotional states. However, facial expression
recognition has remained a challenging and interesting problem in computer vision. In this …

A robust facial expression recognition algorithm based on multi-rate feature fusion scheme

SJ Park, BG Kim, N Chilamkurti - Sensors, 2021 - mdpi.com
In recent years, the importance of catching humans' emotions grows larger as the artificial
intelligence (AI) field is being developed. Facial expression recognition (FER) is a part of …

A study on computer vision for facial emotion recognition

ZY Huang, CC Chiang, JH Chen, YC Chen… - Scientific Reports, 2023 - nature.com
Artificial intelligence has been successfully applied in various fields, one of which is
computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion …

Deep joint spatiotemporal network (DJSTN) for efficient facial expression recognition

D Jeong, BG Kim, SY Dong - Sensors, 2020 - mdpi.com
Understanding a person's feelings is a very important process for the affective computing.
People express their emotions in various ways. Among them, facial expression is the most …

Combining multimodal features within a fusion network for emotion recognition in the wild

B Sun, L Li, G Zhou, X Wu, J He, L Yu, D Li… - Proceedings of the 2015 …, 2015 - dl.acm.org
In this paper, we describe our work in the third Emotion Recognition in the Wild (EmotiW
2015) Challenge. For each video clip, we extract MSDF, LBP-TOP, HOG, LPQ-TOP and …

[HTML][HTML] Exnet: An efficient approach for emotion recognition in the wild

MN Riaz, Y Shen, M Sohail, M Guo - Sensors, 2020 - mdpi.com
Facial expression recognition has been well studied for its great importance in the areas of
human–computer interaction and social sciences. With the evolution of deep learning, there …