Edge computing aims to integrate computing into everyday settings, enabling the system to
be context-aware and private to the user. With the increasing success and popularity of deep …

Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …

Motion or inertial sensors such as gyroscope and accelerometer commonly found in
smartwatches and smartphones can measure characteristics such as acceleration and …

In the field of machine intelligence and ubiquitous computing, there has been a growing
interest in human activity recognition using wearable sensors. Over the past few decades …

The traditional methods of recognizing human activities involve typical machine learning
(ML) algorithms which uses heuristic engineered features. Human activities are dynamic in …

Human activity recognition and deep learning are two fields that have attracted attention in
recent years. The former due to its relevance in many application domains, such as ambient …

As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …

The increasing diffusion of tiny wearable devices and, at the same time, the advent of
machine learning techniques that can perform sophisticated inference, represent a valuable …

Abstract Human Activity Recognition (HAR) using wearable and mobile sensors has gained
momentum in last few years, in various fields, such as, healthcare, surveillance, education …

Human Activity Recognition (HAR) is the automatic detection and understanding of human
motion behavior based on data extracted from video camera, ambient sensors or wearable …