In this work, we evaluate the feasibility of deploying ubiquitous WiFi sensing systems at the
edge and consider the applicability of existing techniques on constrained edge devices and …

Abnormal behavior detection (ABD) systems are built to automatically identify and recognize
abnormal behavior from various input data types, such as sensor-based and vision-based …

Abstract The Internet of Things (IoT) is increasingly integrated into daily life, particularly in
healthcare, through the Internet of Medical Things (IoMT). IoMT devices support services like …

Smart technologies are necessary for ambient assisted living (AAL) to help family members,
caregivers, and health-care professionals in providing care for elderly people …

The Internet of Things (IoT) has a growing presence in society's daily lives. These
lightweight devices can be easily deployed and maintained, enabling extensive adoption in …

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 …

Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

Background Older adults have been disproportionately affected by the COVID-19 pandemic.
This sco** review aimed to summarize the current evidence of artificial intelligence (AI) …

The lack of physical exercise is among the most relevant factors in develo** health issues,
and strategies to incentivize active lifestyles are key to preventing these issues. The …

Activity monitoring has become a necessary demand for weak people to guarantee their
safety. The paper proposed a Parallel Training Logical Execution (PTLE) system using …