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 a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Human activity recognition (HAR) applications have received much attention due to their
necessary implementations in various domains, including Industry 5.0 applications such as …

With the rapid growth of the Internet of Things (IoT), smart systems and applications are
equipped with an increasing number of wearable sensors and mobile devices. These …

Color fundus photographs enable the observation of numerous critical biomarkers and early-
onset lesions associated with illnesses. Due to its non-invasive and cost-effective nature …

Human behavior recognition is one of the significant components of Ambient Assisted Living
(AAL) systems and personal assistive robots allowing to improve the quality of their lives in …

In Ambient Assisted Living (AAL) systems, one of the main objectives is to provide intelligent
services to enhance the quality of people's lives in terms of safety, well-being, and …

Ergonomic issues of automation of complex production facilities are considered. It is
proposed to use ergonomic functional approach and network modeling of control processes …

This paper presents the development of a novel virtual reality (VR) machine learning (ML)
framework that incorporates haptic feedback to improve sports training scenarios. The …

In Ambient Assisted Living (AAL) systems and personal assistive robots, human behavior
analysis is essential to provide intelligent services intended to improve people's quality of …