Although skeleton-based action recognition has achieved great success in recent years,
most of the existing methods may suffer from a large model size and slow execution speed …

Augmented humanity (AH) is a term that has been mentioned in several research papers.
However, these papers differ in their definitions of AH. The number of publications dealing …

Supervised learning of skeleton sequence encoders for action recognition has received
significant attention in recent times. However, learning such encoders without labels …

Dynamic hand gesture recognition using a 3D skeleton dataset has become the most
attractive research domain because of the multipurpose application. Although many …

Graph convolutional networks (GCNs) have achieved promising results in skeleton-based
action recognition due to their capability in analysing irregular grids with non-Euclidean …

Skeleton-based dynamic hand gesture recognition has become the most attractive and
popular research domain due to its wide range of applications. Sign language recognition …

Video based motion analysis, which aims to acquire the whole posture data by simple
camera and without placing sensors on the body parts, has become the major analysis …

Rowing competitions require consistent rowing strokes among crew members to achieve
optimal performance. However, existing motion analysis techniques often rely on wearable …

This paper presents a near real-time, multistage classifier which identifies people and
handguns in images, and then further assesses the threat-level that a person poses based …

In recent years, many videos have been shared on the Internet. Finding desired videos
among the large amount of video files is known as a major challenge in big data. Due to …