Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …

Understanding emotions is one of the greatest capabilities of human beings, as it allows the
understanding of facial expressions that facilitate the capture of important information about …

Detecting emotions from facial images is difficult because facial expressions can vary
significantly. Previous research on using deep learning models to classify emotions from …

Emotion is an important topic in different fields such as biomedical engineering, psychology,
neuroscience and health. Emotion recognition could be useful for diagnosis of brain and …

Classroom communication involves teacher's behavior and student's responses. Extensive
research has been done on the analysis of student's facial expressions, but the impact of …

In the realm of facial expression recognition (FER), the identification and classification of
seven universal emotional states, surprise, disgust, fear, happiness, neutrality, anger, and …

The World Health Organisation reports distracted driving actions as the main cause of road
traffic accidents. Current studies to detect distraction postures focus on analysing spatial …

Recognizing facial expressions is a challenging task both for computers and humans.
Although recent deep learning-based approaches are achieving high accuracy results in …

This research proposes facial emotion recognition (FER) using a transfer learning-based
approach for a safe drive. To deal with the increasing road accidents, it is important to keep …

This paper proposes a non-invasive approach to detect driver drowsiness. The facial
features are used for detecting the driver's drowsiness. The mouth and eye regions are …