First report of generalized face processing difficulties in möbius sequence. [PDF]
Reverse simulation models of facial expression recognition suggest that we recognize the emotions of others by running implicit motor programmes responsible for the production of that expression.
Sarah Bate +3 more
doaj +5 more sources
Facial Motion Prior Networks for Facial Expression Recognition [PDF]
Deep learning based facial expression recognition (FER) has received a lot of attention in the past few years. Most of the existing deep learning based FER methods do not consider domain knowledge well, which thereby fail to extract representative ...
Yuedong Chen +4 more
openalex +3 more sources
Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression [PDF]
Automatic affective dimension recognition from facial expression continuously in naturalistic contexts is a very challenging research topic but very important in human-computer interaction.
Yona Falinie A. Gaus +4 more
openalex +3 more sources
Effortless facial expression recognition without motor simulation [PDF]
Efficient recognition of facial expressions is often assumed to require covert and unconscious imitation of the observed facial movements – a “motor simulation”.
Sarah Carneiro Pereira +1 more
doaj +2 more sources
Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks [PDF]
Facial expressions involve dynamic changes, and facial expression recognition based on static images struggles to capture the temporal information inherent in these dynamic changes.
Xiangwei Mou +4 more
doaj +2 more sources
Facial expression recognition via transfer learning [PDF]
INTRODUCTION: With the development of artificial intelligence, facial expression recognition has become a hot topic. Facial expression recognition has been widely applied to every field of our life.
Bin Li
doaj +1 more source
Facial Emotion Recognition Using Convolutional Brain Emotional Learning (CBEL) Model [PDF]
Facial expression is considered one of the most important ways of communication and human response to its environment. Recognition of facial emotional expression is used in many research fields, such as psychological studies, robotics, identity ...
Sara Motamed +2 more
doaj +1 more source
An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]
Facial expressions can express people's mental activities and state of mind naturally and efficiently.They profoundly affect people's communication process.In many intelligent applications, facial expression recognition is an important basis for ...
LAN Zhengjie, WANG Lie, NIE Xiong
doaj +1 more source
Face expression image detection and recognition based on big data technology
This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
doaj +1 more source
Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Facial expression recognition is very useful for effective human–computer interaction, robot interfaces, and emotion-aware smart agent systems. This paper presents a new framework for facial expression recognition by using a hybrid model: a combination ...
Jin-Chul Kim +4 more
doaj +1 more source

