Human activity recognition (HAR) using inertial motion data has gained a lot of momentum
in recent years both in research and industrial applications. From the abstract perspective …

Human activity recognition (HAR), which aims at inferring the behavioral patterns of people,
is a fundamental research problem in digital health and ambient intelligence. The …

The various activities of human movements have been discussed for several years, such as
sports activities, daily life activities, and so on. Their detection and classification have given …

The sensor-based human activity recognition (SHAR) task seeks to recognize signals
collected by various sensors embedded in intelligent devices to assist people in their daily …

Purpose The outbreak of the pandemic makes it more difficult to manage the safety or health
of construction workers in infrastructure construction. Risk events in construction workers' …

Keratoconus is a non-inflammatory disease of the eyes diagnosed in more than 1/2000
people, making it significantly common. Among others, eye rubbing has been identified as a …

This study has designed and developed a smart data glove based on five-channel flexible
capacitive stretch sensors and a six-axis inertial measurement unit (IMU) to recognize 25 …

Studies on real-time PM2. 5 concentrations per activity in microenvironments are gaining a
lot of attention due to their considerable impact on health. These studies usually assume that …

Human Context Recognition (HCR) from smartphone sensor data is a crucial task for
Context-Aware (CA) systems, such as those targeting the healthcare and security domains …

Due to the advancements in technology and microelectromechanical systems, there is an
exceptional development in the capabilities of sensors and smart devices. Nowadays …