Over the last decade, there has been considerable and increasing interest in the
development of Active and Assisted Living (AAL) systems to support independent living. The …

Human activity recognition (HAR) is an emerging area of study and research field that
explores the development of automated systems to identify and categorize human activities …

Smart Homes have come a long way: From research laboratories in the early days, through
(almost) neglect, to their recent revival in real-world environments enabled through the …

Mobile ubiquitous computing has not only enriched human comfort but also has a deep
impact on changing standards of human daily life. Modern inventions can be even more …

Deep learning models have gained prominence in human activity recognition using ambient
sensors, particularly for telemonitoring older adults' daily activities in real-world scenarios …

Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …

Background Sensor-based remote health monitoring can be used for the timely detection of
health deterioration in people living with dementia with minimal impact on their day-to-day …

Health monitoring, rehabilitation, and fitness are just a few domains where human activity
recognition can be applied. In this study, a deep learning approach has been proposed to …

With advances in machine learning and ambient sensors as well as the emergence of
ambient assisted living (AAL), modeling humans' abnormal behaviour patterns has become …

The automatic segmentation of skin lesions is considered to be a key step in the diagnosis
and treatment of skin lesions, which is essential to improve the survival rate of patients …