To mitigate the effects of the lack of IoT standardization, including scalability, reusability, and
interoperability, we propose a domain-agnostic monitoring and control framework (MCF) for …

In the context of ambient-assisted living and monitoring activities and behaviors, the concept
of smart homes/environments has emerged as a research and development field with many …

Falling is a common issue within the aging population. The immediate detection of a fall is
key to guarantee early and immediate attention to avoid other potential immobility risks and …

In this work, we detail a methodology based on Convolutional Neural Networks (CNNs) to
detect falls from non-invasive thermal vision sensors. First, we include an agile data …

There is a global challenge related to the increasing number of People with Dementia (PwD)
and the diminishing capacity of governments, health systems, and caregivers to provide the …

Abnormal behaviour in the performance of Activities of Daily Living (ADLs) can be an
indicator of a progressive health problem or the occurrence of a hazardous incident. This …

Sensor networks have dynamically expanded our ability to monitor and study the world.
Their presence and need keep increasing, and new hardware configurations expand the …

Modelling Activities of Daily Living (ADLs) is an important step in the process to design and
implement reliable sensor systems that effectively monitor the activities of the ageing …

The desire to remain living in one's own home rather than a care home by those in need of
24/7 care is one that requires a level of understanding for the actions of an environment's …

This paper presents a probabilistic approach for the identification of abnormal behaviour in
Activities of Daily Living (ADLs) from dense sensor data collected from 30 participants. The …