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 …

Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …

Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

Rapid growth of the aged population has caused an immense increase in the demand for
healthcare services. Generally, the elderly are more prone to health problems compared to …

Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …

Smart wearables have gained considerable attention from Information Systems (IS)
academics, business managers, and health practitioners. In spite of the availability of …

In the paper, we present a new dual attention method called DanHAR, which blends
channel and temporal attention on residual networks to improve feature representation …

Smart mobile devices are being widely used to identify and track human behaviors in simple
and complex daily activities. The evolution of wearable sensing technologies pertaining to …

Featured Application The proposed technique is an application of physical activity detection,
analyzing three challenging benchmark datasets. It can be applied in sports assistance …