Egocentric vision (aka first-person vision–FPV) applications have thrived over the past few
years, thanks to the availability of affordable wearable cameras and large annotated …

Video action recognition is one of the representative tasks for video understanding. Over the
last decade, we have witnessed great advancements in video action recognition thanks to …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

Railway networks systems are by design open and accessible to people, but this presents
challenges in the prevention of events such as terrorism, trespass, and suicide fatalities …

Due to its capacity to gather vast, high-level data about human activity from wearable or
stationary sensors, human activity recognition substantially impacts people's day-to-day …

Automatic interpretation of human actions from realistic videos attracts increasing research
attention owing to its growing demand in real-world deployments such as biometrics …

In this paper, we propose a skeleton-based method to identify violence and aggressive
behavior. The approach does not necessitate highprocessing equipment and it can be …

Temporal action localization is one of the most crucial and challenging problems for video
understanding in computer vision. It has received a lot of attention in recent years because …

The main objective of yoga pose grading is to assess the input yoga pose and compare it to
a standard pose in order to provide a quantitative evaluation as a grade. In this paper, a …

Channel state information (CSI)-based human activity recognition (HAR) has important
application prospects, such as smart homes, medical monitoring, and public security. Due to …