In this study, we explore a human activity recognition (HAR) system using computer vision
for assisted living systems (ALS). Most existing HAR systems are implemented using wired …

In this paper, we present a novel non-deep-learning-based approach for real-time object
tracking and activity recognition within smart homes, aiming to minimize human intervention …

Abstract Early Action Prediction (EAP) in videos aims at forecasting the action labels from
partially observed videos. It is crucial in various applications, including video surveillance …

This paper compares a few effective and widely used face identification methods. In the area
of image processing, automatic face detection is a highly difficult problem, and countless …

Abstract Human Activity Detection (HAD) refers to the process of categorizing and identifying
human motion. HAD studies have received significant attention in the estimation of …

Because identifying human activities has several implications for a range of disciplines,
including privacy, amusement, ambient community living, and healthcare oversight and …

The rapid advancements in Artificial Intelligence, particularly Deep Learning, have
generated a rising demand for the development of automated tools for analyzing human …

Elderly Activity Recognition has become very crucial now-a-days because majority of elderly
people are living alone and are vulnerable. Despite the fact that several researchers employ …

This article is about proposing new robot configuration by introducing a new plaining
algorithm. The scope of the paper research is the process of sequential part assembly in a …