Recently, research on multimodal learning using all modality information has been
conducted to detect disinformation on multimedia. Existing multimodal learning methods …

Automated facial emotion recognition (FER) is one of the important fields of human-
computer interaction (HCI). FER remains challenging due to facial accessories, non-uniform …

Multimodal emotion recognition is designed to use expression and speech information to
identify individual behaviors. Feature fusion can enrich various modal information, which is …

Emotion recognition is one of the most complex research areas as individuals express
emotional cues based on several modalities such as audio, facial expressions, and …

As the key of human–computer natural interaction, the research of emotion recognition is of
great significance to the development of computer intelligence. In view of the issue that the …

Researchers have recently created several deep learning strategies for various tasks, and
facial recognition has made remarkable progress in employing these techniques. Face …

Emotion recognition can be used in a wide range of applications. We are interested in the E-
learning system because of the several benefits of learning anywhere and anytime. Despite …

This study addresses the challenge of low recognition rates in emotion recognition systems,
attributed to the vulnerability of sound data to ambient noise. To overcome this limitation, we …

The field of machine learning and computer science known as “affective computing” focuses
on how to recognize and analyze human emotions. Different modalities can complement or …

Road accidents are a terrible fact of life. A traffic collision is usually mentioned in at least one
of the daily news reports in Malaysia. The number of victims and damage done can be …