Abstract Human Activity Recognition (HAR) has gained much attention since sensor
technology has become more advanced and cost-effective. HAR is a process of identifying …

In this paper, we propose using pose estimation extracted from videos to recognize the
nurses' activity when doing endotracheal suctioning. Endotracheal suctioning is a …

Class-imbalanced biological datasets pose significant challenges in machine learning and
data analysis tasks. Prior methods to handle imbalance rely on data oversampling, which …

In recent years, Human Activity Recognition (HAR) has emerged as one of the most
prominent and demanding research topics in ubiquitous computing [6]. One of the major …

Long-tailed classification poses a challenge due to its heavy imbalance in class probabilities
and tail-sensitivity risks with asymmetric misprediction costs. Recent attempts have used re …

This work focuses on body posture recognition and motion detection within a self-recorded
video dataset, specifically designed for nurse education concerning the ABCDE emergency …

Human activity recognition in healthcare system is now being researched due to its large
impact to make automation of caring, medication and so on. As a part of activity recognition …

Over the past few decades, the issue of caring for older and vulnerable people has become
increasingly important. It is estimated that ten percent of the population will be over the age …