Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

A convolutional neural network (CNN) is an important and widely utilized part of the artificial
neural network (ANN) for computer vision, mostly used in the pattern recognition system …

Induction motors are robust and cost effective; thus, they are commonly used as power
sources in various industrial applications. However, due to the characteristics of induction …

Abstract Human Activity Recognition (HAR) is a highly promising research area meant to
automatically identify and interpret human behaviour using data received from sensors in …

Human Activity Recognition (HAR) has been studied extensively, yet current approaches are
not capable of generalizing across different domains (ie, subjects, devices, or datasets) with …

A smart city is a city that binds together technology, society, and government to enable the
existence of a smart economy, smart mobility, smart environment, smart living, smart people …

This paper introduces a novel approach for leveraging inertial data to discern expertise
levels in motor skill execution, specifically distinguishing between experts and beginners. By …

In assisted living facilities or nursing homes, residents' movements or actions can be
monitored using Human Activity Recognition (HAR), ensuring they receive proper care and …

Human activity recognition (HAR) is a key component for the applications of smart
healthcare systems because of the rapid popularity of wearable devices having sensors …

Healthcare monitoring for humans is important due to several factors including life quality
and early detection of health-related problems. Human activity patterns recognition is the …