Understanding naturalistic facial expressions with deep learning and multimodal large language models
This paper provides a comprehensive overview of affective computing systems for facial
expression recognition (FER) research in naturalistic contexts. The first section presents an …
expression recognition (FER) research in naturalistic contexts. The first section presents an …
Multimodal emotion detection via attention-based fusion of extracted facial and speech features
Methods for detecting emotions that employ many modalities at the same time have been
found to be more accurate and resilient than those that rely on a single sense. This is due to …
found to be more accurate and resilient than those that rely on a single sense. This is due to …
Understanding the factors influencing higher education students' intention to adopt artificial intelligence-based robots
Although there has been some progress, the integration of artificial intelligence into higher
education remains far from sufficient. The demand for teachers will persist for some time; …
education remains far from sufficient. The demand for teachers will persist for some time; …
How perceived lack of benevolence harms trust of artificial intelligence management.
As organizations continue to supplement and replace human management with artificial
intelligence (AI), it is essential that we understand the factors that influence employees' trust …
intelligence (AI), it is essential that we understand the factors that influence employees' trust …
Facial Emotion Recognition in Smart Education Systems: A Review
Facial Emotion Recognition (FER) plays a pivotal role in the realm of Smart Education
Systems (SES), catering to the growing need for personalized and adaptive learning …
Systems (SES), catering to the growing need for personalized and adaptive learning …
[HTML][HTML] Human face localization and detection in highly occluded unconstrained environments
Significant advancements have been achieved in the field of computer vision pertaining to
the detection of human faces. This technological development holds great potential for a …
the detection of human faces. This technological development holds great potential for a …
Training against disguises: Addressing and mitigating bias in facial emotion recognition with synthetic data
Facial Emotion Recognition (FER) is a challenging problem due to various challenges such
as variability in expressions and ambiguity in data. Several popular benchmarking datasets …
as variability in expressions and ambiguity in data. Several popular benchmarking datasets …