Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

Considering the rapid advancements in artificial intelligence (AI) and their potential
implications for the higher education sector, this article seeks to critically evaluate the …

Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …

Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …

This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …

In this article, regression and classification models are compared for stress detection. Both
personal and user-independent models are experimented. The article is based on publicly …

Human Activity Recognition (HAR) from devices like smartphone accelerometers is a
fundamental problem in ubiquitous computing. Machine learning based recognition models …

Human activity recognition (HAR) algorithms today are designed and evaluated on data
collected in controlled settings, providing limited insights into their performance in real-world …

Recent advances in Artificial Intelligence (AI) on the Internet of Things (IoT) devices have
realized Edge AI in several applications by enabling low latency and energy efficiency …