Electromagnetic resonance is the most important distinguishing property of metamaterials to
examine many unusual phenomena. The resonant response of metamaterials can depend …

We present a novel data-driven algorithm to learn the perceived emotions of individuals
based on their walking motion or gaits. Given an RGB video of an individual walking, we …

This paper deals with analysis of behavioural patterns in human–computer interaction. In the
study, keystroke dynamics were analysed while participants were writing positive and …

For the completion of every work, stress evolves in students that ends up with anxiety,
depression, disappointment, suicide, heart attack, stroke, etc. To overcome their stress, they …

This review paper delves into the burgeoning field of mood prediction and recommendation
systems, highlighting the latest advancements, methodologies, and challenges within this …

With the development of modern science and technology, computer technology is more and
more applied to the learning and development of martial arts. In order to study and expand …

The increasing prevalence of mood disorders necessitates innovative approaches for
mental health support and intervention. This paper presents a novel Machine Learning …

Due to our present lifestyle, frequent mood swings and unpredictability are common things
for every human. People are often stressed and a positive outlook to be optimistic toward life …

Depressive Disorder is a leading cause of disability worldwide. Passive screening tools for
detecting the symptoms of depression are essential for monitoring and limiting the spread of …

To identify that whether type of text is negative, positive or neutral, emotion analysis is
performed. NLP-Natural language processing and various learning algorithms were used in …