Facial emotion recognition (FER) is an important research area in artificial intelligence (AI)
and has many applications ie, face authentication systems, e-learning, entertainment …

Many evidence suggested that one's personality can be seen from his/her handwritten
scratches, using Graphology analysis. Graphology consists of two techniques, structural and …

For the past few years, gender classification has been an active area of study and
researchers have been putting a lot of effort to contribute quality research in this area. There …

Human ideas and sentiments are mirrored in facial expressions. Facial expression
recognition (FER) is a crucial type of visual data that can be utilized to deduce a person's …

Automatic Facial Expression Recognition (FER) is an active research area in artificial
intelligence and image processing. One of the main challenges in FER is the automatic …

Extensive attention facial expression recognition (FER) has received recently as facial
expressions are considered as the fastest communication medium of any type of information …

Abstract Machine learning is growing every day, with improvements in existing algorithms,
thus making them more applicable for real life scenarios. It has made huge impact on …

Analysing expressions on the person's face plays a very vital role in identifying emotions
and behavior of a person. Recognizing these expressions automatically results in a crucial …

Emotion recognition in facial images is a topic that has attracted many interests. Research
on emotion recognition in facial images continues to face challenges such as variations of …

Ekspresi wajah merupakan metode yang paling efektif bagi manusia untuk
mengekspresikan emosi. Ekspresi wajah memiliki keunggulan untuk mengetahui emosi …