Human skeleton-based action recognition offers a valuable means to understand the
intricacies of human behavior because it can handle the complex relationships between …

Skeleton sequence representation learning has shown great advantages for action
recognition due to its promising ability to model human joints and topology. However, the …

How humans understand and recognize the actions of others is a complex neuroscientific
problem that involves a combination of cognitive mechanisms and neural networks …

Factory shop floor workers are exposed to threats and accidents due to their encounters with
tools, equipment, and toxic materials. There are cases of occupational accidents resulting in …

Nowadays, research works into the dynamic and static human activities on Smart spaces
abounds. Artificial Intelligence (AI) and low cost non-privacy invasive ambient sensors have …

Asteroseismology studies the physical structure of stars by analyzing their solar-type
oscillations as seismic waves and frequency spectra. The physical processes in stars and …

Background As digital healthcare services handle increasingly more sensitive health data,
robust access control methods are required. Especially in emergency conditions, where the …

IoT sensors and deep learning models can widely be applied for fault prediction. Although
deep learning models are considerably more potent than many conventional machine …

Skeleton data has become popular in human action recognition because of its efficacy in
capturing human motion patterns while mitigating the influence of environmental noise …

Effective access control techniques are in demand, as electronically assisted healthcare
services require the patient's sensitive health records. In emergency situations, where the …