Emotion recognition from facial images is considered as a challenging task due to the
varying nature of facial expressions. The prior studies on emotion classification from facial …

Abstract Background and Objective An aging society requires easy-to-use approaches for
diagnosis and monitoring of neurodegenerative disorders, such as Parkinson's disease …

As a major phase skin Recognition, together with elliptical boundary model, is
accomplished. Further, facial Feature Identification process is carried out. The next step is to …

Emotions are found using verbal and non-verbal cues by analyzing voices and facial
expressions. Monitoring emotional patterns of human is gaining importance in predicting the …

This paper presents a new physiological signal acquisition multi-sensory platform for
emotion detection: Multi-sensor Wearable Headband (MsWH). The system is capable of …

The outbreak of COVID-19 has caused an unprecedented increase in the usage of e-
Learning platforms. The closure of educational institutions globally has significantly …

For any organization to be successful, key factors are the employees and managers working
for it. If the manpower is not mentally strong, then progress may not be up to the mark …

Objectives: To develop face expression recognition system using JAFFE database and to
evaluate the performance of the face expression recognition models. Methods: This study …

The feelings expressed on the face reflect the manner of thinking and provide useful insights
of happenings inside the brain. Face Detection enables us to identify a face. Recognizing …

Deaf or mute persons frequently use sign language to communicate, but it takes a lot of
practice to learn. Principal mode of communication of the Hard-of-Hearing and Deaf …