The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …

Skeleton sequences are lightweight and compact and thus are ideal candidates for action
recognition on edge devices. Recent skeleton-based action recognition methods extract …

Boosted by mobile communication technologies, Human Activity Recognition (HAR) based
on smartphones has attracted more and more attentions of researchers. One of the main …

Energy industries and governments consider ocean wave power a promising renewable
energy source for reaching the net-zero plan by 2050 and restricting the rise in global …

Background and objective Neurodegenerative diseases are the most frequent age-related
diseases. This type of disease, if not discovered in the initial stage, will compromise the …

Physical rehabilitation is crucial in healthcare, facilitating recovery from injuries or illnesses
and improving overall health. However, a notable global challenge stems from the shortage …

Yoga is a traditional Indian exercise. It specifies various body postures called asanas,
practicing them is beneficial for the physical, mental, and spiritual well-being. To support the …

Abstract 3D human pose estimation based on visual information aims to predict 3D poses of
humans in images or videos. The aim of human action recognition is to classify what kind of …

Human Action Recognition (HAR) is an important field that identifies human behavior
through sensor data. Three-dimensional human skeleton data extracted from the Kinect …

Abstract Human Action Recognition is an essential research area in computer vision due to
its automated nature of video monitoring. Human Action Recognition has several …