In this work an affective computing approach is used to study the human-robot interaction using a social robot to validate facial expressions in the wild. Our global goal is to evaluate …
Q Bammey - 2023 8th International Conference on Image …, 2023 - ieeexplore.ieee.org
In a world teeming with digital images, the credibility of visual data has become of paramount importance. While it is now simpler than ever to manipulate an image for …
Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing …
This paper proposes a basic taxonomy of image contours. Our goal is to classify smooth curves into five categories, namely, circles, ellipses, line segments, arcs of circles and arcs …
C Manresa-Yee, S Ramis Guarinos… - Proceedings of the XXII …, 2022 - dl.acm.org
Multiple and varied domains can benefit from automated Facial Expression Recognition (FER) like human computer interfaces or health applications. New approaches using …
SR Guarinos, CM Yee, JMB Rubio… - arXiv preprint arXiv …, 2024 - arxiv.org
Facial expression recognition plays an important role in human behaviour, communication, and interaction. Recent neural networks have demonstrated to perform well at its automatic …
The precipitous growth of the Anthropogenic Space Object population demands new approaches to high-volume detection and measurement for orbital analyses and conjunction …
Recent research has underscored the increasing preference of users for human-like interactions with machines. Consequently, facial expression recognition has gained …
Facial expression recognition is vital for human behavior analysis, and deep learning has enabled models that can outperform humans. However, it is unclear how closely they mimic …