Results 11 to 20 of about 4,932,704 (278)
First report of generalized face processing difficulties in möbius sequence. [PDF]
PLoS ONE, 2013 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 +3 more sources
Facial expression at retrieval affects recognition of facial identity [PDF]
Frontiers in Psychology, 2015 It is well known that memory can be modulated by emotional stimuli at the time of encoding and consolidation. For example, happy faces create better identity recognition than faces with certain other expressions. However, the influence of facial expression at the time of retrieval remains unknown in the literature.
Wenfeng eChen +8 more
core +6 more sources
The neural representation of facial expression [PDF]
, 2012 Faces provide information critical for effective social interactions. A face can be used to determine who someone is, where they are looking and how they are feeling.
Harris, Richard J
core +6 more sources
Statistical modelling for facial expression dynamics [PDF]
, 2012 PhDOne of the most powerful and fastest means of relaying emotions between humans are facial expressions. The ability to capture, understand and mimic those emotions and their underlying dynamics in the synthetic counterpart is a challenging task ...
Zalewski, Lukasz
core +4 more sources
Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Applied Sciences, 2022 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
RRA-InceptionV3 Combined Robust Sparse Representation Method for Expression Recognition [PDF]
Jisuanji gongcheng, 2023 Facial expression recognition technology is an important subject in the field of computer vision.However, in real application, partial occlusion can lead to a sharp drop in the accuracy of facial expression recognition.In view of the low accuracy of ...
Hong XIE, Wengang JIANG
doaj +1 more source
IEEE Access, 2020 The recognition rate of person-independent facial expression is generally not high, which limits the practical application of facial expression recognition.
Ying He, Shuxin Chen
doaj +1 more source
IEEE Access, 2023 Aiming at the problem of insufficient feature extraction and low recognition rate of traditional convolutional neural network in facial expression recognition, a multi-layer feature recognition algorithm based on three-channel convolutional neural ...
Ying He +3 more
doaj +1 more source
A facial expression recognition method based on face texture feature fusion
Journal of Hebei University of Science and Technology, 2021 Aiming at facial expression recognition, the recognition rate is not high due to noise and occlusion. A hybrid approach of facial expression has been presented by combining local and global features.
Tingting GAO, Hang LI, Shoulin YIN
doaj +1 more source
NAO-Facial-Expression-Recognition
, 2021 This project includes a CNN-based FER model designed for real-world facial expression recognition. The “main.py” script allows you to integrate the model into NAO robot image’ streaming, under its Windows Python SDK (Naoqi).
Chiara Filippini (11480128)
core +1 more source