Results 11 to 20 of about 5,950,781 (357)
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild [PDF]
IEEE Transactions on Affective Computing, 2017 Automated affective computing in the wild setting is a challenging problem in computer vision. Existing annotated databases of facial expressions in the wild are small and mostly cover discrete emotions (aka the categorical model). There are very limited
A. Mollahosseini +2 more
semanticscholar +1 more source
Technologies, 2022 (1) Background: In addition to verbalizations, facial expressions advertise one’s affective state. There is an ongoing debate concerning the communicative value of the facial expressions of pain and of pleasure, and to what extent humans can distinguish ...
Hermann Prossinger +4 more
doaj +1 more source
Deep Facial Expression Recognition: A Survey [PDF]
IEEE Transactions on Affective Computing, 2018 With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to ...
Shan Li, Weihong Deng
semanticscholar +1 more source
An Android for Emotional Interaction: Spatiotemporal Validation of Its Facial Expressions
Frontiers in Psychology, 2022 Android robots capable of emotional interactions with humans have considerable potential for application to research. While several studies developed androids that can exhibit human-like emotional facial expressions, few have empirically validated ...
Wataru Sato +7 more
doaj +1 more source
Facial Expression Transfer Based on Conditional Generative Adversarial Networks
IEEE Access, 2023 With the development of computer vision and image transfer, facial expression transfer has been more and more widespread applications. But there are still some problems, such as lack of realistic expression, poor retention of facial identity features and
Yang Fan +3 more
doaj +1 more source
NAO-Facial-Expression-Recognition [PDF]
, 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
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition
Frontiers in Robotics and AI, 2022 The ability of a robot to generate appropriate facial expressions is a key aspect of perceived sociability in human-robot interaction. Yet many existing approaches rely on the use of a set of fixed, preprogrammed joint configurations for expression ...
Niyati Rawal +8 more
doaj +1 more source
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition [PDF]
IEEE Transactions on Image Processing, 2019 Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER has made substantial progresses in the past few decades, occlusion-robust and
K. Wang +4 more
semanticscholar +1 more source
Artificial Neural Network Based Ensemble Approach for Multicultural Facial Expressions Analysis
IEEE Access, 2020 Facial expressions convey exhaustive information about human emotions and the most interactive way of social collaborations, despite differences in ethnicity, culture, and geography. Due to cultural differences, the variations in facial structure, facial
Ghulam Ali +7 more
doaj +1 more source
Racial Identity-Aware Facial Expression Recognition Using Deep Convolutional Neural Networks
Applied Sciences, 2021 Multi-culture facial expression recognition remains challenging due to cross cultural variations in facial expressions representation, caused by facial structure variations and culture specific facial characteristics.
Muhammad Sohail +7 more
doaj +1 more source