Fusion of transformed shallow features for facial expression recognition
Facial expression conveys important signs about the human affective state, cognitive activity,
intention and personality. In fact, the automatic facial expression recognition systems are …
intention and personality. In fact, the automatic facial expression recognition systems are …
Fast facial expression recognition using boosted histogram of oriented gradient (BHOG) features
Abstract Systems for automatic facial expression recognition (FER) have an enormous need
in advanced human-computer interaction (HCI) and human-robot interaction (HRI) …
in advanced human-computer interaction (HCI) and human-robot interaction (HRI) …
Local feature extraction based facial emotion recognition: A survey
Notwithstanding the recent technological advancement, the identification of facial and
emotional expressions is still one of the greatest challenges scientists have ever faced …
emotional expressions is still one of the greatest challenges scientists have ever faced …
A new pipeline for the recognition of universal expressions of multiple faces in a video sequence
Facial expression recognition (FER) is a crucial issue in human–machine interaction. It
allows machines to act according to facial expression changes. However, acting in real time …
allows machines to act according to facial expression changes. However, acting in real time …
A feature boosted deep learning method for automatic facial expression recognition
T Podder, D Bhattacharya, P Majumder… - PeerJ Computer …, 2023 - peerj.com
Automatic facial expression recognition (FER) plays a crucial role in human-computer based
applications such as psychiatric treatment, classroom assessment, surveillance systems …
applications such as psychiatric treatment, classroom assessment, surveillance systems …
A novel leaky rectified triangle linear unit based deep convolutional neural network for facial emotion recognition
S Eluri - Multimedia Tools and Applications, 2023 - Springer
Abstract In numerous fields, Facial Expression Recognitions (FER) is employed, which is a
vital topic. The Facial Expressions (FE) is categorized by the FER into human emotions …
vital topic. The Facial Expressions (FE) is categorized by the FER into human emotions …
基于残差整流增强卷积神经网络的表情识别.
陈斌， 朱晋宁， 东一舟 - Chinese Journal of Liquid Crystal & …, 2020 - search.ebscohost.com
针对受控场景下人脸表情识别率低的问题, 提出了一种受控场景下基于残差整流增强卷积神经
网络的表情识别算法. 该方法以卷积神经网络为原型, 在训练模型的过程中 …
网络的表情识别算法. 该方法以卷积神经网络为原型, 在训练模型的过程中 …
[PDF][PDF] A machine learning approach for expression detection in healthcare monitoring systems
Expression detection plays a vital role to determine the patient's condition in healthcare
systems. It helps the monitoring teams to respond swiftly in case of emergency. Due to the …
systems. It helps the monitoring teams to respond swiftly in case of emergency. Due to the …
Facial expression recognition with active local shape pattern and learned-size block representations
Facial expression recognition has been studied broadly, and several works using local
micro-pattern descriptors have obtained significant results. There are, however, open …
micro-pattern descriptors have obtained significant results. There are, however, open …
Geometric facial components feature extraction for facial expression recognition
DY Liliana, MR Widyanto… - … Conference on Advanced …, 2018 - ieeexplore.ieee.org
Facial expression recognition is an active research challenge in computer vision and
artificial intelligence since facial expressions contribute non-verbal information in human …
artificial intelligence since facial expressions contribute non-verbal information in human …