In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

Currently, old-style personal Medicare techniques rely mostly on traditional methods, such
as cumbersome tools and complicated processes, which can be time consuming and …

In the era of smart life, tracking human activities and motion can play a significant role in the
advanced modern applications, such as the Internet of things (IoT), Internet of healthcare …

This paper presents a wearable inertial sensor network and its associated activity
recognition algorithm for accurately recognizing human daily and sport activities. The …

Construction is known for being a labor-intensive and risky industry. Within various
occupational settings such as construction, physical fatigue is an underlying health condition …

Supervising and examining the physical activities of different individuals by using wireless
sensors is beneficial in favor of recognizing postural positioning and moving actions in the …

Human behavior modeling (HBM) is a challenging classification task for researchers
seeking to develop sustainable systems that precisely monitor and record human life-logs. In …

In the last few decades, technology innovation has had a huge influence on our lives and
well-being. Various factors of observing our physiological characteristics are taken into …

Background Objective measures using accelerometer-based activity monitors have been
extensively used in physical activity (PA) and sedentary behavior (SB) research. To measure …

The objective of this study was to investigate the accuracy of a Deep Neural Network (DNN)
in recognizing activities typical for hospitalized patients. A data collection study was …