The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

Physical activity recognition using embedded sensors has enabled many context-aware
applications in different areas, such as healthcare. Initially, one or more dedicated wearable …

With a widespread of various sensors embedded in mobile devices, the analysis of human
daily activities becomes more common and straightforward. This task now arises in a range …

In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …

This work presents the Transition-Aware Human Activity Recognition (TAHAR) system
architecture for the recognition of physical activities using smartphones. It targets real-time …

The position of on-body motion sensors plays an important role in human activity
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …

For physical activity recognition, smartphone sensors, such as an accelerometer and a
gyroscope, are being utilized in many research studies. So far, particularly, the …

The ubiquity of smartphones together with their ever-growing computing, networking, and
sensing powers have been changing the landscape of people's daily life. Among others …

Understanding the state, behavior, and surrounding context of construction workers is
essential to effective project management and control. Exploiting the integrated sensors of …

Human activity recognition (HAR) using smartphones provides significant healthcare
guidance for telemedicine and long-term treatment. Machine learning and deep learning …